Q4 2026 Palo Alto Networks Inc Earnings Call

September 1, 2026

Speaker #1: Everyone always wants to know about your platformization strategy. Is it all about platformization? Is it all about this sweet product you're able to offer them?

Speaker #2: Thank you for having our platformization.

Speaker #3: Yes, it is.

Speaker #4: When you were on a couple quarters ago, you introduced a concept called platformization. He doesn't really have anything. He's just trying to snow you, Jim.

Speaker #4: In fact, don't we all wish that you had done platformization a lot earlier?

Speaker #3: I'm glad you're able to say that word without a hiccup. And I wish I'd done it earlier.

Speaker #4: I'm a believer in platformization. Maybe others will join us.

Speaker #2: What this does prove is there's only one long-term solution: platformize and fight AI with AI.

Speaker #3: You got this phenomenal frontier models, and they keep sort of leapfrogging each other. Mythos ends up being an accelerant to cybersecurity.

Speaker #2: I think this is an unstoppable trend that's ahead of us. The entire software industry will get rewritten for the next 10 years. It is going to change the way cybersecurity is done in the future.

Speaker #3: This is the beginning. This is not a moment.

Speaker #5: Good day, everyone, and welcome to Palo Alto Networks' fiscal fourth quarter 2026 earnings conference call. I'm Hamza Fodderwala, Senior Vice President of Investor Relations and Strategic Finance.

Speaker #1: To close the year at $21.2 billion, representing a growth rate of 34%. GSARR reached $9.1 billion, up 63%, enabling us to report one of our most substantial next-generation security ARR outperformances to date.

Speaker #5: Please note that this call is being recorded today Tuesday, September 1, 2026, at 1:30 PM Pacific Time. With me on today's call to discuss our fiscal fourth quarter results are Nikesh Arora, our Chairman and Chief Executive Officer, and Deepak Golechha, our Chief Financial Officer.

Speaker #1: Most notably, we added nearly $1 billion in net new NGSARR this quarter alone. I remember my first Analyst Day in 2019, shortly after I arrived, we set a high bar to reach $1 billion in next-generation security revenue by fiscal 2022.

Speaker #5: You can find the press release and other information to supplement today's discussion on our website at investors.paloaltonetworks.com. While there, please click on the link for quarterly results to find the Q4 26 supplemental financial information and Q4 26 earnings presentation.

Speaker #1: Just as we were initiating our pivot from a single-product firewall vendor into a unified security platform, that transformation journey has reached a pivotal inflection point. The scale of our current success is a testament to that vision.

Speaker #5: During the course of today's call, we will be making forward-looking statements and projections regarding the company's business operations and financial performance. As well as the company's recent acquisitions.

Speaker #1: We delivered broad-based strength across our platforms in Q4, with network security—our largest business—reporting exceptional results across SASE, software, and hardware firewalls. XIAM maintained its strong momentum, while Prisma Access achieved a significant milestone, surpassing $100 million in ARR within four quarters of general availability.

Speaker #5: These statements may today are subject to a number of risks and uncertainties, that could cause our actual results to differ from these forward-looking statements.

Speaker #5: Please review our press release and recent SEC filings for a description of these risks and uncertainties. We assume no obligation to update any forward-looking statements made in today's presentation.

Speaker #1: This represents the fastest-scaling product in the history of Palo Alto Networks. Fiscal 2026 marked a pivotal inflection point in our transformation journey. We closed the two largest acquisitions in our history, with CyberArk and Kronosphere.

Speaker #5: This presentation also contains non-GAAP financial measures and key metrics relating to the company's past and expected future performance. Non-GAAP financial measures should not be considered a substitute for financial measures prepared in accordance with GAAP.

Speaker #1: Both of which are exceeding our initial expectations. Both businesses are gaining significant traction within our platformized architecture and are scaling at an accelerated pace compared to their previous standalone performance.

Speaker #1: These achievements are a testament to our execution and deep collaboration with the thousands of new colleagues who joined us this past year, and we look forward to continuing this shared momentum into FY27.

Speaker #5: The most directly comparable GAAP financial metrics and reconciliations are in the press release and the appendix of the investor presentation. Unless specifically noted otherwise, all results and comparisons are on a fiscal year-over-year basis.

Speaker #1: Q4 was the very first quarter in which we witnessed the profound implications of cyber-capable models. As I have said before, AI is a long-term tailwind for cybersecurity.

Speaker #5: I will now turn the call over to Nikesh.

Speaker #6: Thank you, Hamza. Good day, everyone, and thank you for being with us to discuss our progress. As you can see, our execution fueled record finish to the fiscal year.

Speaker #1: While these models are becoming increasingly proficient at uncovering vulnerabilities, detection is merely the opening act. Truly validating, interpreting context, and resolving these issues requires broad cybersecurity platforms working alongside frontier AI.

Speaker #6: We exceeded our guidance across every financial metric in Q4, with bookings momentum accelerating for the second straight quarter. This performance is a direct result of record-breaking platformization adoption and the growing urgency among customers to fortify their defenses as AI fundamentally redefines the security landscape.

Speaker #1: This synergy is essential to stress-test environments, manage agentic actions, and trigger machine-speed remediation during an active threat. Defending at that speed necessitates a unified data architecture, where AI processes every signal, collapsing response times from days to just minutes.

Speaker #6: We achieved record RPO, surpassing the $20 billion threshold for the first time, to close the year at $21.2 billion representing a growth rate of 34%.

Speaker #1: Platformization is the only viable strategy for real-time defense, fighting AI with AI. And that philosophy continues to gain significant resonance with our customers in Q4.

Speaker #6: And GSARR reached $9.1 billion up 63%, enabling us to report one of our most substantial next-generation security ARR outperformances to date. Most notably, we added nearly $1 billion in net new NGSARR this quarter alone.

Speaker #1: During the fourth quarter, we achieved approximately 220 net new platformizations, surpassing our prior record and representing more than twice the volume from when we initiated this metric two years ago.

Speaker #6: I remember my first analyst day in 2019, shortly after I arrived, we set a high bar to reach $1 billion in next-generation security revenue by fiscal 2022.

Speaker #1: The performance validates that our philosophy of real-time defense through unified architecture continues to gain significant resonance. Beyond initial adoption, standardizing on our platform yields superior attention and expansion, with NRR, or net revenue retention, exceeding 120% for our platformized cohort in Q4.

Speaker #6: Just as we were initiating our pivot from a single product firewall vendor into a unified security platform. That transformation journey has reached a pivotal inflection point, and the scale of our current success is a testament to that vision.

Speaker #1: As we look forward, we remain on track toward our long-term objective of over 4,000 platformizations by fiscal 2030, which serves as a bedrock for reaching our $20 billion next-generation security ARR target.

Speaker #6: We delivered broad-based strength across our platforms in Q4, with network security our largest business reporting exceptional results across SASE, software, and hardware firewalls. XIM maintained its strong momentum, while Prismairs achieved a significant milestone surpassing $100 million in ARR within four quarters of general availability.

Speaker #1: Our largest Q4 wins show platformization in action. During the fourth quarter, we secured a $126 million agreement with a global telecoms leader. This organization moved to standardize on our network security platforms, bolstering their next-generation firewall footprint while displacing legacy proxy providers with Prisma Access for SASE.

Speaker #6: This represents the fastest scaling product in the history of Palo Alto Networks. Fiscal 2026 marked a pivotal inflection point in our transformation journey. We closed the two largest acquisitions in our history with CyberArk and Chronosphere.

Speaker #1: We also closed a $72 million transaction with the premier IT service provider. This client has fully embraced platformization across network security, Cortex, and IDRA, making eight-figure investments in each—serving as a powerful validation of our cross-sell momentum in Q4.

Speaker #6: Both of which are exceeding our initial expectations. Both businesses are gaining significant traction within our platformized architecture and our scaling at an accelerated pace compared to their previous standalone performance.

Speaker #6: These achievements are a testament to the execution and deep collaboration with the thousands of new colleagues who joined us this past year. We look forward to continuing this shared momentum into FY27.

Speaker #1: Our further highlight was a $53 million platformization deal with the leading global payments platform. Beyond standardizing their network defense and architecture, they committed high seven figures to Prisma AI as they accelerate their enterprise AI initiatives.

Speaker #6: Q4 was the very first quarter in which we witnessed a profound implications of cyber capable models. As I have said before, AI is a long-term tailwind for cybersecurity.

Speaker #1: Fiscal 2026 has emerged as a landmark period in the rapid evolution of AI, marked by three distinct inflections over the last six months. Each of these shifts fundamentally redefines how AI interacts with the enterprise and, by extension, how it impacts the cybersecurity landscape.

Speaker #6: While these models are becoming increasingly proficient at uncovering vulnerabilities, detection is merely the opening act. Truly validating interpreting context and resolving these issues requires broad cybersecurity platforms working alongside frontier AI.

Speaker #6: This synergy is essential to stress test environments manage agentic actions and trigger machine speed remediation during an active threat. Defending at that speed, necessitates a unified data architecture where AI processes every signal collapsing response times from days to just minutes.

Speaker #6: Platformization is the only viable strategy for real-time defense, fighting AI with AI. And that philosophy continue to gain significant resonance with our customers in Q4.

Speaker #6: During the fourth quarter, we achieved approximately 220 net new platformizations, surpassing our prior record and representing more than twice the volume for when we initiated this metric two years ago.

Speaker #6: The performance validates that our philosophy of real-time defense through unified architecture continues to gain significant resonance. Beyond initial adoption, standardizing on our platform yields superior attention and expansion with NRR or net revenue retention exceeding $120% for our platformized cohort in Q4.

Speaker #6: As we look forward, we remain on track towards our long-term objective of over 4,000 platformizations by fiscal 2030, which serves as a bedrock for reaching our $20 billion next-generation target.

Speaker #6: Our largest Q4 wins show platformization in action. During the fourth quarter, we secured $126 million agreement with a global telecoms leader this organization moved to standardize on our network security platforms bolstering their next-generation firewall footprint while displacing legacy proxy providers with Prisma access for SASE.

Speaker #6: We also closed a $72 million transaction with the premier IT service provider this client has fully embraced platformization across network security, cortex, and IDRA, making eight-figure investments in each, serving as a powerful validation of our cross-sell momentum in Q4.

Speaker #6: A further highlight was a $53 million platformization deal with the leading global payments platform. Beyond standardizing their network defense and architecture, they committed high seven figures to Prismairs as the accelerate the enterprise AI initiatives.

Speaker #6: Fiscal 2026 has emerged as a landmark AI. Marked by three distinct inflections over the last six months, each of these shifts fundamentally redefines how AI interacts with the enterprise and by extension how it impacts the cybersecurity landscape.

Speaker #6: For us to effectively lead and protect our customers, maintain our position as a vanguard of these structural changes is paramount. The first inflection was the arrival of OpenClaw.

Speaker #6: Earlier this year, OpenClaw served as the catalyst for the transition from standard LLMs to agentic action. Fundamentally altering the dynamic between human operators and AI systems.

Speaker #1: For us to effectively lead and protect our customers, maintaining our position as a vanguard of these structural changes is paramount. The first inflection was the arrival of OpenClaw.

Speaker #6: Just a year ago, AI was largely defined by individual human prompting, a synchronous multi-turn dialogue where tasks was completed with a personal loop. Fortunately, overnight, we witnessed the emergence of fully autonomous agents.

Speaker #1: Earlier this year, OpenClaw served as the catalyst for the transition from standard LLMs to agentic action, fundamentally altering the dynamic between human operators and AI systems.

Speaker #6: These are persistent entities that operate for extended durations executing complex workflows without direct supervision. For a single employee who wants managed one task at a time, that same individual can now orchestrate thousands of autonomous agents.

Speaker #1: Just a year ago, AI was largely defined by individual human prompting—a synchronous, multi-turn dialogue where tasks were completed with a personal loop. Virtually overnight, we witnessed the emergence of fully autonomous agents.

Speaker #1: These are persistent entities that operate for extended durations, executing complex workflows without direct supervision. Where a single employee once managed one task at a time, that same individual can now orchestrate thousands of autonomous agents.

Speaker #6: The implications for the enterprise are profound. Each of these agents generates continuous traffic, interacting with models, creating internal data, clock. This creates a massive volume of telemetry that must be observed while every agent requires its own set of credentials.

Speaker #1: The implications for the enterprise are profound. Each of these agents generates continuous traffic, interacting with models, creating internal data, and communicating with other tools and agents around the clock.

Speaker #6: We're now securing a whole new cast of machine identities as autonomous permissions. This surge in traffic, data, and identity complexity represents a significant long-term tailwind across every one of our platforms.

Speaker #1: This creates a massive volume of telemetry that must be observed, while every agent requires its own set of credentials. We're now securing a whole new cast of machine identities with autonomous permissions.

Speaker #6: The second was a mythos moment. Which proved that deep domain training enables AI to achieve unprecedented proficiency. In our sector, this is manifested as the weaponization of AI to identify and exploit vulnerabilities at scale.

Speaker #1: This surge in traffic, data, and identity complexity represents a significant long-term tailwind across every one of our platforms. The second was a 'mythos moment.'

Speaker #6: This shift has exposed the deep technical debt within the enterprise where legacy flaws and persistent misconfigurations that once took months for a human to uncover are now exploited in minutes.

Speaker #1: Which proved that deep domain training enables AI to achieve unprecedented proficiency. In our sector, this is manifested as the weaponization of AI to identify and exploit vulnerabilities at scale.

Speaker #6: In an AI threat-driven threat environment, there is no longer anywhere to hide. For our customers, the mythos moment reframed the security challenge from visibility to velocity.

Speaker #1: This shift has exposed the deep technical debt within the enterprise, where legacy flaws and persistent misconfigurations that once took months for a human to uncover are now exploited in minutes.

Speaker #6: Organizations must now identify exposures before they are weaponized and respond in machine speed. This is why real-time defense has shifted from a future roadmap item to a present-day requirement.

Speaker #1: In an AI threat-driven environment, there is no longer anywhere to hide. For our customers, the mythos moment reframed the security challenge from visibility to velocity.

Speaker #6: To address this, we expanded our frontier AI defense service last month, introducing a multimodal harness that enables enterprises to stress test their environments. This service leverages the most sophisticated cyber capable models available, and we are proud to be the first certified commercial partner for mythos five.

Speaker #1: Organizations must now identify exposures before they are weaponized and respond at machine speed. This is why real-time defense has shifted from being a future requirement.

Speaker #1: To address this, we expanded our Frontier AI Defense service last month, introducing a multimodal harness that enables enterprises to stress-test their environments. This service leverages the most sophisticated cyber-capable models available, and we are proud to be the first certified commercial partner for Mythos 5.

Speaker #6: The third involves an emerging inflection point that we expect will dominate the cybersecurity dialogue in the coming quarters. For the past 90 days, the market has moved beyond a handful of frontier models towards a diversified ecosystem of open weight and open source architectures.

Speaker #1: The third involves an emerging inflection point that we expect will dominate the cybersecurity dialogue in the coming quarters. For the past 90 days, the market has moved beyond a handful of frontier models toward a diversified ecosystem of open-weight and open-source architectures.

Speaker #6: Enterprises are increasingly prioritizing sovereign control over their AI. Leading to the deployment of specialized models deeply integrated with proprietary data. We expect a major acceleration as organizations utilize internal telemetry to fine-tune models for bespoke enterprise use cases.

Speaker #1: Enterprises are increasingly prioritizing sovereign control over their AI, leading to the deployment of specialized models deeply integrated with proprietary data. We expect a major acceleration as organizations utilize internal telemetry to fine-tune models for bespoke enterprise use cases.

Speaker #6: While frontier models will continue to set the high watermark for intelligence, the broader market is heading towards rapid fragmentation and proliferation. Crucially, each new deployment adds more infrastructure to fortify and more sensitive data to protect.

Speaker #1: While frontier models will continue to set the high watermark for intelligence, the broader market is heading towards rapid fragmentation and proliferation. Crucially, each new deployment adds more infrastructure to fortify, and more sensitive data to protect.

Speaker #6: The surface area requiring platformized protection is expanding dramatically. Three pivotal moments each with a unique impact yet all leading to a single conclusion. As the relationship between humans and AI evolves and deployments multiply, the necessity for unified real-time defense has never been greater.

Speaker #1: The surface area requiring platformized protection is expanding dramatically. Three pivotal moments—each with a unique impact, yet all leading to a single conclusion. As the relationship between humans and AI evolves, and deployments multiply, the necessity for unified, real-time defense has never been greater.

Speaker #6: It is early days but we are beginning to see the signs of how these trends are impacting our business. Starting with our largest business, network security.

Speaker #6: AI represents a significant long-term tailwind that is expanding our total addressable market in network security while reinforcing that platformization is the only viable strategy for the modern enterprise.

Speaker #1: It is early days, but we are beginning to see the signs of how these trends are impacting our business, starting with our largest business, network security.

Speaker #6: As the global AI build-out continues, every new data center becomes critical infrastructure that requires robust fortification through hardware and software firewalls, whether delivered natively by cloud providers or via unified security platform.

Speaker #1: AI represents a significant long-term tailwind that is expanding our total addressable market in network security, while reinforcing that platformization is the only viable strategy for the modern enterprise.

Speaker #1: As the global AI buildout continues, every new data center becomes critical infrastructure that requires robust fortification through hardware and software firewalls, whether delivered natively by cloud providers or via a unified security platform.

Speaker #6: The ecosystem driving this infrastructure expansion has reached a pivotal inflection point and now we're seeing a new vanguard of buyers emerge spanning sovereigns, new clouds, and frontier AI labs, all racing to deploy massive computational capacity that must be secured.

Speaker #1: The ecosystem driving this infrastructure expansion has reached a pivotal inflection point, and now we're seeing a new vanguard of buyers emerge, spanning sovereigns, NeoClouds, and frontier AI labs— all racing to deploy massive computational capacity that must be secured.

Speaker #6: We achieved strong early traction with this cohortant FY26, including multiple seven-figure bookings in the fourth quarter. In total, our firewall execution drove accelerated bookings for the fiscal year fueled by robust demand for the latest Gen 5 hardware and the continued momentum of our software offerings as customers scale their cloud and AI workloads.

Speaker #1: We achieved strong early traction with this cohort in FY26, including multiple seven-figure bookings in the fourth quarter. In total, our firewall execution drove accelerated bookings for the fiscal year, fueled by robust demand for our latest Gen 5 hardware and the continued momentum of our software offerings as customers scale their cloud and AI workloads.

Speaker #6: As this infrastructure matures and autonomous agents are deployed, we expect a dramatic proliferation of agentic traffic across every network and cloud environment. The impact on our SASE platform is already evident.

Speaker #6: Where agentic traffic has surged 9X over the last nine months. Defending at this scale requires machine speed and inspection, or competence, a core competence we have refined for two decades.

Speaker #1: As this infrastructure matures and autonomous agents are deployed, we expect a dramatic proliferation of agentic traffic across every network and cloud environment. The impact on our SASE platform is already evident.

Speaker #6: Enabling us to block more than 30 billion attacks in a single day. Ultimately, AI is underscoring the urgent need for unified platforms that deliver real-time defense.

Speaker #1: Where agentic traffic has surged 9x over the last 9 months. Defending at this scale requires machine speed and inspection. Our competence—a core competence we have refined for two decades—enables us to block more than 30 billion attacks in a single day.

Speaker #6: An FY26, our platform advantage drove exceptional results in our SASE business where bookings grew 40%, the broad strength across access SD-WAN and secure browser.

Speaker #1: Ultimately, AI is underscoring the urgent need for unified platforms that deliver real-time defense. In FY26, our platform advantage drove exceptional results in our SASE business, where bookings grew 40%, with broad strength across access, SD-WAN, and secure browser.

Speaker #6: We successfully displaced legacy incumbents in nearly 100 accounts representing over 400 million in total contract value, nearly double the volume of displacement from a year ago.

Speaker #6: While we have rapidly ascended to the number two position in this market, we're playing to win and remain on a clear trajectory to become the SASE leader within the next five to seven years.

Speaker #1: We successfully displaced legacy incumbents in nearly 100 accounts, representing over $400 million in total contract value—nearly double the volume of displacement from a year ago.

Speaker #6: We're in the early chapter of this shift where the future necessitates securing both human and machine identities through unified architecture capable of providing defenses that machine speed.

Speaker #1: While we have rapidly ascended to the number two position in this market, we're playing to win and remain on a clear trajectory to become the SASE leader within the next five to seven years.

Speaker #6: Organizations are transitioning AI initiatives from experimentation to full-scale production significantly widening the defensive perimeter with each new deployment, Prisma heirs has continuously adapted alongside these adoption cycles evolving to mitigate the unique risk emerging from every phase of the AI journey.

Speaker #1: We're in the early chapter of this shift, where the future necessitates securing both human and machine identities through a unified architecture capable of providing defenses at machine speed.

Speaker #1: Organizations are transitioning AI initiatives from experimentation to full-scale production, significantly widening the defensive perimeter with each new deployment. Prisma heirs has continuously adapted alongside these adoption cycles, evolving to mitigate the unique risks emerging from every phase of the AI journey.

Speaker #6: While our initial focus addressed the chatbox-centric era of generative AI, our vision has expanded towards providing a comprehensive architecture for agentic security. This unified approach begins with securing machine identities and credentials incorporates deep observability of agentic footprints and extends to the endpoint where we analyze behavioral intent.

Speaker #1: While our initial focus addressed the chatbox-centric era of generative AI, our vision has expanded toward providing a comprehensive architecture for agentic security. This unified approach begins with securing machine identities and credentials, incorporates deep observability of agentic footprints, and extends to the endpoint where we analyze behavioral intent.

Speaker #6: By funneling this traffic through our AI gateway, we ensure that security policies are enforced in real time across every interaction. Prisma heirs achieved a remarkable milestone in Q4, surpassing 100 million in ARR within just four quarters of general availability, marking the most rapid scale out of any product in our history.

Speaker #1: By funneling this traffic through our AI gateway, we ensure that security policies are enforced in real time across every interaction. Prisma SASE achieved a remarkable milestone in Q4, surpassing $100 million in ARR within just four quarters of general availability, marking the most rapid scale-out of any product in our history.

Speaker #6: Our momentum is reflected in a growing base of over 800 customers for this product with the majority of our largest transactions now featuring multimodule adoption in Q4.

Speaker #6: We're also seeing significant early validation of our agentic endpoint strategy following the Koi acquisition. We believe the endpoint is reaching a critical inflection point as AI development tools migrate to the desktop environment.

Speaker #1: Our momentum is reflected in a growing base of over 800 customers for this product, with the majority of our largest transactions now featuring multi-module adoption in Q4.

Speaker #6: This shift creates an expanded surface area where agents autonomously manage files and access sensitive credentials. Legacy security tools often remain blind to the underlying intent and reasoning behind these machine speed actions.

Speaker #1: We're also seeing significant early validation of our agentic endpoint strategy following the KOI acquisition. We believe the endpoint is reaching a critical inflection point, as AI development tools migrate to the desktop environment.

Speaker #6: In this landscape, visibility without action is insufficient. Our platformized approach delivers end-to-end transparency from the initial prompt to the final execution, enabling inline prevention and machine speed.

Speaker #1: This shift creates an expanded surface area where agents autonomously manage files and access sensitive credentials. Legacy security tools often remain blind to the underlying intent and reasoning behind these machine-speed actions.

Speaker #6: This capability is becoming a fundamental requirement for the enterprise. We've already secured over 100 logos representing a two-and-a-half times increase since finalizing the Koi integration earlier this year.

Speaker #1: In this landscape, visibility without action is insufficient. Our platformized approach delivers end-to-end transparency from the initial prompt to the final execution, enabling inline prevention at machine speed.

Speaker #6: Ultimately, the synergy of detection and prevention is most effective when unified with a single platform with XIM serving as a central nervous system for this critical telemetry.

Speaker #1: This capability is becoming a fundamental requirement for the enterprise. We've already secured over 100 logos, representing a 2.5x increase since finalizing the KOI integration earlier this year.

Speaker #6: Earlier this year, our unit 42 researchers demonstrated the staggering speed of modern threats by simulating a comprehensive AI-driven attack in under 30 minutes. Contrast that with the industry standard defense report response of four days, and it's clear that legacy approaches are no longer sustainable.

Speaker #1: Ultimately, the synergy of detection and prevention is most effective when unified within a single platform, with XIM serving as a central nervous system for this critical telemetry.

Speaker #1: Earlier this year, our Unit 42 researchers demonstrated the staggering speed of modern threats by simulating a comprehensive, AI-driven attack in under 30 minutes. Contrast that with the industry-standard defense report response of four days, and it is clear that legacy approaches are no longer sustainable.

Speaker #6: Customers standardizing on XIM are transforming their operations, reducing their mean time to respond to less than 10 minutes, massively from the days or weeks required previously.

Speaker #6: As we continue our relentless push towards true real-time defense. In the fourth quarter, XIM maintained its exceptional momentum, concluding the year with over 700 million dollars in ARR, up 70%, while surpassing the thousands customer milestone on the platform.

Speaker #1: Customers are standardizing on XIM, transforming their operations and reducing their mean time to respond to less than 10 minutes—a massive leap from the days or weeks required previously.

Speaker #1: As we continue our relentless push towards true real-time defense, in the fourth quarter, XIM maintained its exceptional momentum, concluding the year with over $700 million in ARR, up 70%, while surpassing the thousand-customer milestone on the platform.

Speaker #6: The power of our architecture lies in the fact that live telemetry is already resident within XIM, allowing us to seamlessly unlock new value through our unified data lake.

Speaker #6: Expanding a deployment does not require the friction of new product integration, it simply involves querying existing data in new ways. As of Q4, the majority of customers have embraced this platform advantage utilizing multiple modules, including exposure management and cloud security.

Speaker #1: The power of our architecture lies in the fact that live telemetry is already resident within XIM, allowing us to seamlessly unlock new value through our unified data lake.

Speaker #1: Expanding a deployment does not require the friction of new product integration; it simply involves querying existing data in new ways. As of Q4, the majority of customers have embraced this platform advantage, utilizing multiple modules, including exposure management and cloud security.

Speaker #6: Turning to observability, we continue to see the world's premier AI native and cloud-first organizations standard on our technology. The entire. Entities pioneering the AI frontier generate telemetry at a scale that traditional tools cannot withstand.

Speaker #6: Chronosphere has engineered specifically for these massive data volumes, capturing every training run and agent loop. This quarter, we signed a 20 million dollar deal with a hypergrowth AI inference provider that processes tens of trillions of tokens a day.

Speaker #1: Turning to observability, we continue to see the world's premier AI-native and cloud-first organizations standardize on our technology. The entire entities pioneering the AI frontier generate telemetry at a scale that traditional tools cannot withstand.

Speaker #6: This is no longer there is no stronger validation of our platform than when the architects of the AI ecosystem trust us to monitor their own infrastructure.

Speaker #1: Chronosphere has been engineered specifically for these massive data volumes, capturing every training run and agent loop. This quarter, we signed a $20 million deal with a hyper-growth AI inference provider that processes tens of trillions of tokens a day.

Speaker #6: Since finalizing the Chronosphere acquisition in Q2, our observability ARR has more than doubled, eclipsing the 500 million dollar mark. This performance has significantly outformed outperformed our initial targets and represents the most rapid post-acquisition scaling in our history.

Speaker #1: There is no stronger validation of our platform than when the architects of the AI ecosystem trust us to monitor their own infrastructure.

Speaker #1: Since finalizing the Chronosphere acquisition in Q2, our observability ARR has more than doubled, eclipsing the $500 million mark. This performance has significantly outperformed our initial targets and represents the most rapid post-acquisition scaling in our history.

Speaker #6: Our cross-sell strategy is delivering tangible results. With XIM contributing to 50% of net new Chronosphere logos this quarter through multiple seven-figure agreements. We are further enriching the stack with the acquisition we embrace, integrating real user monitoring to complement our core metrics logs and traces.

Speaker #1: Our cross-sell strategy is delivering tangible results, with XIM contributing to 50% of net new Chronosphere logos this quarter through multiple seven-figure agreements. We are further enriching this stack with the acquisition of Embrace, integrating real user monitoring to complement our core metrics, logs, and traces.

Speaker #6: This expansion enables us to provide a comprehensive end-to-end observability platform that spans from the core infrastructure to the final user experience. Collectively, XIM and observability now represent over a billion dollars in ARR.

Speaker #6: A remarkable achievement for data-intensive platforms that were not part of our portfolio just a few years ago. The cornerstone of our success throughout my tenure at Palo Alto Networks has been our ability to identify premier technology and world-class talent and seamlessly integrate them into our culture.

Speaker #1: This expansion enables us to provide a comprehensive end-to-end observability platform that spans from the core infrastructure to the final user experience. Collectively, XIM and observability now represent over $1 billion in ARR.

Speaker #1: A remarkable achievement for data-intensive platforms that were not part of our portfolio just a few years ago. The cornerstone of our success throughout my tenure at Palo Alto Networks has been our ability to identify premier technology and world-class talent, and seamlessly integrate them into our culture.

Speaker #6: While the complexity of our integration efforts naturally increased the scale of this year's acquisitions, the result has been extraordinary. In Q4, the success was most evident in our performance with CyberArk, our now-called IDERA.

Speaker #6: Just two quarters after finalizing our largest acquisition date, we are accelerating growth while capturing synergies ahead of schedule. A rare feat that demonstrates the power of our integration engine.

Speaker #1: While the complexity of our integration efforts naturally increased the scale of this year's acquisitions, the result has been extraordinary. In Q4, the success was most evident in our performance with CyberArk, our now-called IDERA.

Speaker #6: These results are a testament to the deep collaboration with our new colleagues from a go-to-market perspective our joint efforts yielded over 400 shared leads driving more than 200 net new logos from our install base.

Speaker #1: Just two quarters after finalizing our largest acquisition to date, we are accelerating growth while capturing synergies ahead of schedule—a rare feat that demonstrates the power of our integration engine.

Speaker #6: We are also seeing a significant move towards larger commitments with 5 million dollar plus TCV deals up 50% year over year in the fourth quarter.

Speaker #1: These results are a testament to the deep collaboration with our new colleagues. From a go-to-market perspective, our joint efforts yielded over 400 shared leads, driving more than 200 net new logos for one install base.

Speaker #6: Yet, the most significant challenge and opportunity remains the rise of agentic AI. By definition, an agent possesses agency. Necessitating a machine identity with the precise context and permissions required to execute its workflow.

Speaker #1: We are also seeing a significant move towards larger commitments, with $5 million-plus TCV deals up 50% year over year in the fourth quarter.

Speaker #1: Yet, the most significant challenge and opportunity remains the rise of agentic AI. By definition, an agent possesses agency, necessitating a machine identity with the precise context and permissions required to execute its workflow.

Speaker #6: As enterprises deploy thousands of these autonomous entities, many remain outside of formal governance often lacking properly scoped permissions. This summer served as a wake-up call as rogue agents compromise environments at several frontier AI labs.

Speaker #1: As enterprises deploy thousands of these autonomous entities, many remain outside of formal governance, often lacking properly scoped permissions. This summer served as a wake-up call, as rogue agents compromised environments at several frontier AI labs. In one notable instance, an agent escaped its sandbox and exploited system vulnerabilities because its access had never been properly restricted.

Speaker #6: In one notable instance, an agent escaped its sandbox and exploited system vulnerabilities because its access had never been properly restricted. At its core, this represents a fundamental identity crisis for the enterprise.

Speaker #6: This is a strategic imperative behind our IDERA platform. IDERA extends sophisticated identity security and privilege controls to AI agents, ensuring every machine action is authorized, scoped, and fully auditable.

Speaker #1: At its core, this represents a fundamental identity crisis for the enterprise. This is a strategic imperative behind our IDERA platform. IDERA extends sophisticated identity security and privilege controls to AI agents, ensuring every machine action is authorized, scoped, and fully auditable.

Speaker #6: As we integrate these agentic controls with our AI gateway into Prisma Airs, we are empowering organizations to enforce security policies and maintain defense in real time.

Speaker #6: Fiscal 2026 was a transformative year for Palo Alto Networks and the broader industry. We remain convinced that the AI tailwinds catalyzing cybersecurity demand will only intensify as we look towards the future.

Speaker #1: As we integrate these agentic controls with our AI Gateway into Prisma AIrs, we are empowering organizations to enforce security policies and maintain defense in real time.

Speaker #6: First, the global AI infrastructure build-out is drawing trillions in investment. We anticipate more capital expenditure in the next five years than the preceding two decades.

Speaker #1: Fiscal 2026 was a transformative year for Palo Alto Networks and the broader industry. We remain convinced that the AI tailwinds catalyzing cybersecurity demand will only intensify as we look toward the future.

Speaker #6: This massive expansion is fueled by demand that continues to outship supply. For AI to deliver on this promise, both traffic and data volumes must scale.

Speaker #1: First, the global AI infrastructure build-out is drawing trillions in investment. We anticipate more capital expenditure in the next five years than in the preceding two decades.

Speaker #6: And that has to do every bit requires inspection, and every byte requires observability. This surge in critical infrastructure is a permanent tailwind for cybersecurity, a trend already manifesting in the accelerated momentum of our network security and observability businesses this year.

Speaker #1: This massive expansion is fueled by demand that continues to outstrip supply. For AI to deliver on this promise, both traffic and data volumes must scale.

Speaker #1: And that has to do with every bit requiring inspection, and every byte requiring observability. This surge in critical infrastructure is a permanent tailwind for cybersecurity, a trend already manifesting in the accelerated momentum of our network security and observability businesses this year.

Speaker #6: Second, is the strategic imperative to transition towards real-time defense. With cyber attacks now operating machine speed, fragmented legacy tools are no longer viable. There is approximately 1 trillion of global cybersecurity debt that must be modernized to defend against automated threats.

Speaker #1: Second is the strategic imperative to transition toward real-time defense. With cyber attacks now operating at machine speed, fragmented legacy tools are no longer viable. There is approximately $1 trillion of global cybersecurity debt that must be modernized to defend against automated threats.

Speaker #6: Because AI operates instantaneously, this modernization must occur on unified platforms. Platformization is the only solution for real-time defense, ensuring that telemetry and policy are harmonized across every control point.

Speaker #6: We're still in the early chapters of this structural change. Third, AI has inaugurated a fundamentally new market for cybersecurity. The rise of autonomous agents will dramatically expand the network surface area that requires fortification.

Speaker #1: Because AI operates instantaneously, this modernization must occur on unified platforms. Platformization is the only solution for real-time defense, ensuring that telemetry and policy are harmonized across every control point.

Speaker #6: Robust governance and security guardrails for AI have shifted from optional features to essential enterprise requirements. While this market is evolving rapidly, we believe the future belongs to architectures providing end-to-end controls a vision we are delivering through Prisma Airs.

Speaker #1: We're still in the early chapters of this structural change. Third, AI has inaugurated a fundamentally new market for cybersecurity. The rise of autonomous agents will dramatically expand the network surface area that requires fortification.

Speaker #1: Robust governance and security guardrails for AI have shifted from optional features to essential enterprise requirements. While this market is evolving rapidly, we believe the future belongs to architectures providing end-to-end controls—a vision we are delivering through Prisma AIrs.

Speaker #6: Lastly, I do want to mention in breaking news, we closed our acquisition of console today. Console brings an AI-first approach to product development in the IT and security operations space.

Speaker #6: Andre and his team are going to work as part of our Cortex effort to agentify our capabilities and drive us faster into the AI era.

Speaker #1: Lastly, I do want to mention, in breaking news, we closed our acquisition of Consoled today. Consoled brings an AI-first approach to product development in the IT and security operations space.

Speaker #6: I want to welcome both the Embrace and Console teams' acquisitions we closed this quarter to Palo Alto Networks. As we move into fiscal 2027, the significant momentum, we understand that our continued leadership must be earned through disciplined execution every quarter.

Speaker #1: Andre and his team are going to work as part of our Cortex effort to identify our capabilities and drive us faster into the AI era.

Speaker #1: I want to welcome both the Embrace and Consoled teams' acquisitions we closed this quarter to Palo Alto Networks. As we move into fiscal 2027, with significant momentum, we understand that our continued leadership must be earned through disciplined execution every quarter.

Speaker #6: I want to express my gratitude to our employees for their performance during this milestone year and to our customers for their enduring partnership. With that, let me hand over to Deepak.

Speaker #2: Thank you, Nikesh, and good afternoon, everyone. We delivered a strong close to a record year, driven by the broad-based strengths across our platforms and the early success of our integration efforts.

Speaker #1: I want to express my gratitude to our employees for their performance during this milestone year, and to our customers for their enduring partnership. With that, let me hand over to Deepak.

Speaker #2: Our team's executed with discipline, and we exceeded guidance across every metric. Before walking through the details, please note that I'll be speaking to our results both on a reported and a proforma basis to provide a normalized growth comparison where applicable.

Speaker #2: Thank you, Nikesh, and good afternoon, everyone. We delivered a strong close to a record year, driven by broad-based strengths across our platforms and the early success of our integration efforts.

Speaker #2: Our team executed with discipline, and we exceeded guidance across every metric. Before walking through the details, please note that I'll be speaking to our results on both a reported and pro forma basis, to provide a normalized growth comparison, where applicable.

Speaker #2: All growth percentages will be on a year-over-year basis unless stated otherwise. Starting with the top line, Q4 RPO exceeded 20 billion dollars for the first time.

Speaker #2: Ending the year at 21.2 billion dollars, up 34%. Our bookings growth accelerated for the second consecutive quarter on a proforma basis. Driven by the success of our platformization strategy.

Speaker #2: All growth percentages will be on a year-over-year basis unless stated otherwise. Starting with the top line, Q4 RPO exceeded $20 billion for the first time, ending the year at $21.2 billion, up 34%.

Speaker #2: Current RPO reached 9.3 billion dollars, also up 34%, as contracts durations remained steady year over year. We also delivered a record result in NGSARR, which reached 9.1 billion in Q4, up 63%.

Speaker #2: Our bookings growth accelerated for the second consecutive quarter on a pro forma basis, driven by the success of our platformization strategy. Current RPO reached $9.3 billion, also up 34%, as contract durations remained steady year over year.

Speaker #2: As Nikesh highlighted, most notable was that nearly 1 billion dollars of net new NGSARR in Q4, which almost doubled year on year, and is a milestone that only a select category of technology companies have ever achieved.

Speaker #2: We also delivered a record result in NGS ARR, which reached $9.1 billion in Q4, up 63%. As Nikesh highlighted, most notable was the nearly $1 billion of net new NGS ARR in Q4, which almost doubled year on year, and is a milestone that only a select category of technology companies have ever achieved.

Speaker #2: I still recall my first quarter as CFO in Q3 of fiscal 21 when we surpassed 970 million in total NGSARR, we've now added approximately that amount in a single quarter.

Speaker #2: That's a testament to the multiple growth drivers in our business. Five years ago, SASE was still in its infancy, and XIM had not yet launched.

Speaker #2: I still recall my first quarter as CFO in Q3 of fiscal '21, when we surpassed $970 million in total NGS ARR. We've now added approximately that amount in a single quarter.

Speaker #2: Today, those have either surpassed or are approaching a billion dollar ARR businesses. To provide more visibility into our growth drivers, we're introducing new revenue disclosure by platform.

Speaker #2: That's a testament to the multiple growth drivers in our business. Five years ago, SASE was still in its infancy, and XIM had not yet launched.

Speaker #2: As I previewed last quarter, those three platforms are network and AI security, Cortex, and IDERA. We've provided historical periods as well as product composition for these platforms in the appendix of our earnings presentation published on our website.

Speaker #2: Today, those have either surpassed or are approaching $1 billion ARR businesses. To provide more visibility into our growth drivers, we're introducing new revenue disclosure by platform.

Speaker #2: As I previewed last quarter, those three platforms are Network and AI Security, Cortex, and IDERA. We've provided historical periods as well as product composition for these platforms in the appendix of our earnings presentation published on our website.

Speaker #2: Before diving into our revenue by platform, please note that network and AI security includes the certificate lifecycle management business we acquired with CyberArk, which has since been rebranded to next-generation trust security, or NGTS.

Speaker #2: Before diving into our revenue by platform, please note that Network and AI Security includes the certificate lifecycle management business we acquired with CyberArk, which has since been rebranded to Next-Generation Trust Security, or NGTS.

Speaker #2: NGTS contributed approximately 85 million dollars to network and AI security revenue in fiscal year 26. Additionally, the revenue by platform I will discuss excludes certain items like professional services, which are reported in the category titled Other, as shown in the earnings presentation appendix.

Speaker #2: NGTS contributed approximately $85 million to network and AI security revenue in fiscal year '26. Additionally, the revenue by platform I will discuss excludes certain items, like professional services, which are reported in the category titled "Other," as shown in the earnings presentation appendix.

Speaker #2: Let's start with network and AI security. Our revenue here grew 17% for the full fiscal 26, reaching 8.35 billion dollars in revenue. We continued to deliver above-market and double-digit growth in network security, which speaks to our strong competitive position and the large market opportunities still ahead of us in our largest platform.

Speaker #2: Let's start with Network and AI Security. Our revenue here grew 17% for the full fiscal '26, reaching $8.35 billion in revenue. We continued to deliver above-market and double-digit growth in network security, which speaks to our strong competitive position and the large market opportunities still ahead of us in our largest platform.

Speaker #2: As an example, we continue to gain share in SASE, with bookings and ARR growing well ahead of the overall market. Our software firewall business accelerated once again, reaching 29% ARR growth in Q4, and Prisma Airs surpassed 100 million dollars in ARR within its first year of general availability.

Speaker #2: As an example, we continue to gain share in SASE, with bookings and ARR growing well ahead of the overall market. Our software firewall business accelerated once again, reaching 29% ARR growth in Q4, and Prisma AIRES surpassed $100 million in ARR within its first year of general availability.

Speaker #2: Finally, we had another strong quarter in our hardware firewall business, driven by the adoption of our latest Gen 5 appliances. Turning to Cortex, which includes our security operations and observability platform, revenue grew 25% in fiscal year 2026 to 1.92 billion in revenue.

Speaker #2: Finally, we had another strong quarter in our hardware firewall business, driven by the adoption of our latest Gen5 appliances. Turning to Cortex, which includes our security operations and observability platform, revenue grew 25% in fiscal year 2026, to $1.92 billion in revenue.

Speaker #2: As noted earlier, XIM continues to be a key driver of Cortex with ARR growing 70% in Q4. On the observability side, our ARR surpassed 500 million dollars and more than doubled since we closed the acquisition of Kronosphere in Q2.

Speaker #2: As noted earlier, XIM continues to be a key driver of Cortex, with ARR growing 70% in Q4. On the observability side, our ARR surpassed $500 million, and more than doubled since we closed the acquisition of Kronosphere in Q2.

Speaker #2: Keep in mind, and as we noted last quarter, our Q4 net new ARR includes a nine-figure benefit from a large LLM customer, migrating to Kronosphere from an incumbent vendor.

Speaker #2: Keep in mind, as we noted last quarter, our Q4 net new ARR includes a nine-figure benefit from a large LLM customer migrating to Kronosphere from an incumbent vendor.

Speaker #2: Lastly, we have IDERA, which consists of our identity security platform from the CyberArk acquisition, closed in early fiscal Q3. As noted earlier, IDERA excludes revenue from the certificate lifecycle management acquired from CyberArk.

Speaker #2: On a proforma basis, IDERA revenue reached 1.26 billion dollars in fiscal year 26 and grew 21%. Our bookings grew faster than revenue in Q4, which is a testament to our early integration success and go-to-market collaboration.

Speaker #2: On a pro forma basis, IDERA revenue reached $1.26 billion in fiscal year '26 and grew 21%. Our bookings grew faster than revenue in Q4, which is a testament to our early integration success and go-to-market collaboration.

Speaker #2: In total, our revenue grew 34% to 3.41 billion dollars in the fourth quarter and for the full fiscal year revenue reached 11.5 billion dollars, up 24% year over year.

Speaker #2: In total, our revenue grew 34% to $3.41 billion in the fourth quarter, and for the full fiscal year, revenue reached $11.5 billion, up 24% year over year.

Speaker #2: From a geographic perspective, we delivered robust growth across all of our regions. The Americas was up 33% year over year, EMEA was up 39% year over year, and JPAC was up 34% year over year.

Speaker #2: From a geographic perspective, we delivered robust growth across all of our regions. The Americas were up 33% year over year, EMEA was up 39% year over year, and JPAC was up 34% year over year.

Speaker #2: Moving down the P&L, total gross margin in Q4 was 74.8%, down 100 basis points year over year. For the full fiscal year, gross margin was 75.8%, down 60 basis points year over year.

Speaker #2: This decline reflects a mixed shift towards our faster-growing SaaS offerings, which continue to scale with our platforms and have yet to reach their gross margin maturity.

Speaker #2: Looking ahead, the growing majority of revenue is cloud and SaaS, and we anticipate that mixed shift will drive our cloud hosting costs faster than total revenue in fiscal year 27.

Speaker #2: This decline reflects a mixed shift toward our faster-growing SaaS offerings, which continue to scale with our platforms and have yet to reach their gross margin maturity.

Speaker #2: Turning to the supply chain, we expect rising commodity costs to persist in our hardware business, particularly as it relates to memory and storage. As a reminder, while we're pleased with the strength that we're seeing in our hardware demand, revenue from hardware represents approximately 10% of the total company.

Speaker #2: Looking ahead, the growing majority of revenue is cloud and SaaS, and we anticipate that this mix shift will drive our cloud hosting costs faster than total revenue in fiscal year '27.

Speaker #2: We continue to manage our component cost exposure through our strategic supplier relationships and selective pricing actions across our portfolio of hardware products. Ultimately, our primary focus remains on optimizing the business for total operating income and margin, and this focus was reflected in our Q4 results and our full year results.

Speaker #2: Q4 non-GAAP operating margin came in at 29.6%, and for the full fiscal year, we achieved operating margins of 29.2%, an increase of 40 basis points year over year.

Speaker #2: This annual expansion is particularly notable as it includes a partial year of our largest acquisitions, which operated in much lower operating margins at standalone entities.

Speaker #2: Q4 non-GAAP operating margin came in at 29.6%, and for the full fiscal year, we achieved an operating margin of 29.2%, an increase of 40 basis points year over year.

Speaker #2: We're making excellent progress on this front. Regarding CyberArk synergies, our integration synergy targets remain 3 to 6 months ahead of plan. Looking ahead to fiscal year 27, we anticipate higher cost of goods sold will be more than offset by continued operating leverage as we scale efficiently and deliver on M&A synergies.

Speaker #2: Looking ahead to fiscal year '27, we anticipate that higher cost of goods sold will be more than offset by continued operating leverage as we scale efficiently and deliver on M&A synergies.

Speaker #2: Our focus on operating leverage drove Q4 non-GAAP EPS of $1.02, exceeding the high end of our guided range by 4 cents. Adjusted free cash flow for the fourth quarter, reached $1.9 sorry, reached $1.29 billion, growing 35% year over year.

Speaker #2: Our focus on operating leverage drove Q4 non-GAAP EPS of $1.02, exceeding the high end of our guided range by 4 cents. Adjusted free cash flow for the fourth quarter reached $1.29 billion, growing 35% year over year.

Speaker #2: For the full fiscal year 26, adjusted free cash flow was $4.41 billion, delivering a margin of 38.4%, an increase of 40 basis points year over year.

Speaker #2: As a result of our strong free cash flow generation, we ended fiscal 26 with a robust balance sheet including $7.9 billion in cash, cash equivalents, and short-term investments.

Speaker #2: For the full fiscal year '26, adjusted free cash flow was $4.41 billion, delivering a margin of 38.4%, an increase of 40 basis points year over year.

Speaker #2: As a result of our strong free cash flow generation, we ended fiscal '26 with a robust balance sheet, including $7.9 billion in cash, cash equivalents, and short-term investments.

Speaker #2: Stepping back over the past three years, we've proven our ability to deliver durable and profitable growth. Our execution has driven over 500 basis points of operating margin expansion, we've achieved this whilst capturing market share across new categories, driven by our industry-leading R&D investments.

Speaker #2: Stepping back, over the past three years, we've proven our ability to deliver durable and profitable growth. Our execution has driven over 500 basis points of operating margin expansion.

Speaker #2: Our operating leverage has also translated directly to cash flow. Adjusted free cash flow margin has been 38% or better in each of the last four years, and we sustain the strong cash flow generation even while absorbing the impacts of large M&A and as our customers moved increasingly from multi-year to annual billing.

Speaker #2: We've achieved this while capturing market share across new categories, driven by our industry-leading R&D investments. Our operating leverage has also translated directly into cash flow.

Speaker #2: Adjusted free cash flow margin has been 38%, or better, in each of the last four years, and we sustained the strong cash flow generation even while absorbing the impacts of large M&A, and as our customers moved increasingly from multi-year to annual billing.

Speaker #2: This track record of scaling profitably is the bedrock of our financial model. It provides us with the ability to neutralize potential cost headwinds while simultaneously fueling our innovation engine, our ultimate competitive advantage, and the catalyst for our customers' platformization journeys.

Speaker #2: This track record of scaling profitably is the bedrock of our financial model. It provides us with the ability to neutralize potential cost headwinds, while simultaneously fueling our innovation engine—our ultimate competitive advantage and the catalyst for our customers' platformization journeys.

Speaker #2: Looking ahead, we continue to have increasing visibility into our free cash flow. This has been driven by a combination of steady operating margin, expansion, as well as a smooth transition to deferred or annual billing in our core business.

Speaker #2: Looking ahead, we continue to have increasing visibility into our free cash flow. This has been driven by a combination of steady operating margin expansion, as well as a smooth transition to deferred or annual billing in our core business.

Speaker #2: To provide some context, annual billings increase significantly from 6% of bookings in fiscal 20 to 27% in fiscal 25. Now we're seeing a steadier rise with the percentage of annual billings having increased by low single digits, year over year, in fiscal 26 to about 30% of total bookings.

Speaker #2: To provide some context, annual billings increased significantly from 6% of bookings in fiscal '20 to 27% in fiscal '25. Now, we're seeing a steadier rise, with the percentage of annual billings having increased by low single digits year over year in fiscal '26, to about 30% of total bookings.

Speaker #2: With this structural transition now largely stabilized, we have highly predictable compounding cash engine going forward. This cash flow visibility paired with our continued focus on margin expansion and durable double-digit bookings growth reinforces our confidence in achieving our 40% free cash flow margin target in fiscal 28.

Speaker #2: With this structural transition now largely stabilized, we have a highly predictable compounding cash engine going forward. This cash flow visibility, paired with our continued focus on margin expansion and durable double-digit bookings growth, reinforces our confidence in achieving our 40% free cash flow margin target in fiscal '28.

Speaker #2: Before we turn to guidance, I also want to step back and frame the growth opportunity ahead. As I mentioned earlier, our industry-leading R&D investment over the years has fueled our innovation engine and expanded our market opportunity into new categories.

Speaker #2: That ongoing commitment has earned us leadership recognition in nearly every major category that we operate in. What began predominantly as a standalone firewall business is now a platform with multiple billion-dollar ARR businesses.

Speaker #2: And several more approaching that milestone. We continue to remain under-penetrated against our total addressable market of 340 billion dollars by 2030. We believe that AI will not will only expand our opportunity whilst reinforcing the need for platformization and real-time cyber defense.

Speaker #2: We continue to remain underpenetrated against our total addressable market of $340 billion by 2030. We believe that AI will not only expand our opportunity, but also reinforce the need for platformization and real-time cyber defense.

Speaker #2: This puts us on track to achieve our target of $20 billion in NGS ARR by fiscal year 2030. With that long-term framework in mind, let's turn to our Q1 and our fiscal year 27 guidance.

Speaker #2: This puts us on track to achieve our targeted $20 billion in NGS ARR by fiscal year 2030. With that long-term framework in mind, let's turn to our Q1 and our fiscal year '27 guidance.

Speaker #2: Note that our recently closed acquisitions of Consol and Embrace are immaterial to our fiscal year 27 guidance. For the first for the fiscal first quarter 2027, we expect for Q1, we expect NGS ARR of $9.54 billion to $9.56 billion, or 63% growth.

Speaker #2: Note that our recently closed acquisitions of Consol and Embrace are immaterial to our fiscal year 27 guidance. For the first for the fiscal first quarter 2027, we expect the Q1, we expect NGS ARR of $9.54 billion to $9.56 billion, or 63% growth.

Speaker #2: We expect RPO of 20.8 billion to 20.9 billion, or 34 to 35% growth. And we expect revenue of 3.3 billion to 3.31 billion dollars, or 33 to 34% growth.

Speaker #2: We expect RPO of $20.8 billion to $20.9 billion, or 34% to 35% growth. And we expect revenue of $3.3 billion to $3.31 billion, or 33% to 34% growth.

Speaker #2: Fully diluted share count of 837 to 844 million shares, and diluted non-GAAP EPS to be in the range of 0.96 to 0.98 cents share.

Speaker #2: For the fiscal year 2027, we expect NGS ARR of 11.075 billion to 11.175 billion dollars, or 22 to 23% growth. We expect RPO of 25.2 to 25.4 billion dollars, or 19 to 20% growth.

Speaker #2: Fully diluted share count of 837 to 844 million shares, and diluted non-GAAP EPS to be in the range of $0.96 to $0.98 per share.

Speaker #2: For fiscal year 2027, we expect NGS ARR of $11.075 billion to $11.175 billion, or 22% to 23% growth. We expect RPO of $25.2 billion to $25.4 billion, or 19% to 20% growth.

Speaker #2: And we expect revenue of 14.1 billion to 14.2 billion dollars, or 23 to 24% growth. Regarding operating margin of 29.5% and diluted non-GAAP EPS to be in the range of 4.16 to 4.19 dollars share.

Speaker #2: And we expect revenue of $14.1 billion to $14.2 billion, or 23% to 24% growth. We expect operating margin of 29.5% and diluted non-GAAP EPS to be in the range of $4.16 to $4.19 per share.

Speaker #2: Fully diluted share count of 844 to 847 million shares, and adjusted free cash flow margin of 38%. We've included our typical modeling points in the appendix of our presentation for your review, but I would like to point out a few things.

Speaker #2: Fully diluted share count of 844 to 847 million shares and adjusted free cash flow margin of 38%. We've included our typical modeling points in the appendix of our presentation for your review, but I would like to point out a few things.

Speaker #2: First, as previously mentioned, our fiscal year 26 net new NGS ARR included a nine-figure benefit from a large LLM customer, migrating to Kronosphere, from an incumbent provider.

Speaker #2: Our outlook assumes the tail end of this migration will last through Q1 of fiscal 27, and that the net new ARR contribution from this migration will be less than what was added in Q4.

Speaker #2: First, as previously mentioned, our fiscal year '26 net new NGS ARR included a nine-figure benefit from a large LLM customer migrating to Kronosphere from an incumbent provider.

Speaker #2: This will impact the seasonality of the net new NGS ARR in fiscal 27, making Q1 larger than normal. We expect 60 to 61% of the net new NGS ARR to fall in the second half of fiscal year 27.

Speaker #2: Our outlook assumes the tail end of this migration will last through Q1 of fiscal '27, and that the net new ARR contribution from this migration will be less than what was added in Q4.

Speaker #2: This will impact the seasonality of net new NGS ARR in fiscal '27, making Q1 larger than normal. We expect 60% to 61% of the net new NGS ARR to fall in the second half of fiscal year '27.

Speaker #2: Second, while we do not intend to give revenue guidance by platform, we are providing initial modeling points to help you establish the revenue growth trajectory for each of the platforms within the context of our total company guidance.

Speaker #2: For fiscal year 27, we expect network and AI security revenue growth of low double digits year over year. We expect Cortex revenue up approximately 30% year over year.

Speaker #2: For fiscal year '27, we expect network and AI security revenue growth of low double digits year over year. We expect Cortex revenue to be up approximately 30% year over year.

Speaker #2: And we expect IDERA revenue of approximately 1.5 billion representing pro forma growth of high teams to 20% year over year. With that, I will turn it back to Hamza for Q&A.

Speaker #2: And we expect IDERA revenue of approximately $1.5 billion, representing pro forma growth of high teens to 20% year over year. With that, I will turn it back to Hamza for Q&A.

Speaker #1: Okay. Thank you, Deepak. Please ensure that only one question is asked by each analyst. First question will be Rob Owens. From Piper Sandler, followed by Brian Essex from JP Morgan.

Speaker #1: Okay. Thank you, Deepak. Please ensure that only one question is asked by each analyst. The first question will be from Rob Owens at Piper Sandler, followed by Brian Essex from JPMorgan.

Speaker #3: Great. Thank you, Hamza, and thank you guys for taking my question. Nikesh, you prepared remarks spoke to a lot of the tailwinds that you guys are seeing across cyber right now.

Speaker #3: And I think that was evidenced in your booking strength, and you mentioned the second straight quarter of acceleration. But this has been uneven throughout the environment.

Speaker #3: Great. Thank you, Hamza, and thank you, guys, for taking my question. Nikesh, your prepared remarks spoke to a lot of the tailwinds that you guys are seeing across cyber right now.

Speaker #3: And obviously, scaled players and players with breadth of coverage really is mattered here. So to that end, as you look at the new fiscal year, how are you thinking about M&A?

Speaker #3: And I think that was evidenced in your booking strength, and you mentioned the second straight quarter of acceleration. But this has been uneven throughout the environment.

Speaker #3: How are you thinking about something else that could be transformational to Palo Alto? Just given that the market is shifting so quickly, and while you have had an ability to take advantage of it, given what you've done in the past, what are you contemplating moving forward?

Speaker #3: And, obviously, scaled players and players with breadth of coverage really matter here. So, to that end, as you look at the new fiscal year, how are you thinking about M&A?

Speaker #3: Thanks.

Speaker #2: Rob, thank you for your question. I'll just send you the names of the companies so it makes it easier. I don't have to answer them in such detail.

Speaker #2: You'd appreciate that, right? Look. As I was maintained that M&A is not a strategy. M&A is a consequence of stuff that we do from a product development perspective.

Speaker #3: Thanks.

Speaker #2: Rob, thank you for your question. I'll just send you the names of the companies so it makes it easier. I don't have to answer them in such detail.

Speaker #2: To give you a sense, if you I talked about the three major pivots we've seen in AI already in the last seven months. You've seen people go from LLMs to agents to now open weight models.

Speaker #2: You'd appreciate that, right? Look, as I was saying, I maintain that M&A is not a strategy. M&A is a consequence of things that we do from a product development perspective.

Speaker #2: And every one of these technological shifts on the customer side obviously requires a slightly different security architecture. How do you protect these agents? How do you ensure that open weight models are protected?

Speaker #2: To give you a sense, if you— I talked about the three major pivots we've seen in AI already in the last seven months. We've seen people go from LLMs to agents to now open weight models.

Speaker #2: Agents don't go rogue. And obviously, we have a point of view internally, and we're building towards that from a product development perspective. But sometimes, you can get caught flat-footed because you're going down one path and suddenly the market shifts elsewhere.

Speaker #2: This is where I we have the privilege of looking at the entire cybersecurity landscape and seeing 40 or 50 companies that have been funded in this category.

Speaker #2: Agents don't go rogue. And obviously, we have a point of view internally, and we're building towards that from a product development perspective. But sometimes you can get caught flat-footed, because you're going down one path and suddenly the market shifts elsewhere.

Speaker #2: And then you suddenly realize that some other company had the strategy right. And that's when you step in and make an acquisition. So the acquisition happens because they've got a technology trend right, and we'd rather embrace it quickly and get on that so our customers can have that capability much faster.

Speaker #2: This is where we have the privilege of looking at the entire cybersecurity landscape and seeing 40 or 50 companies that have been funded in this category.

Speaker #2: And then you suddenly realize that some other company had the strategy right, and that's when you step in and make an acquisition. So the acquisition happens because they've got a technology trend right, and we'd rather embrace it quickly and get on that so our customers can have that capability much faster. Because honestly, as you can see, after Mythos, what has happened is customers are willing to experiment with a lot of AI implementations.

Speaker #2: Because honestly, as you can see, after mythos, what has happened is customers are willing to experiment with a lot of AI implementations. But before they deploy, they want to ensure robust security harness around it.

Speaker #2: The most sort of common questions we get are, what do I do about the vulnerabilities that mythos is going to find in my environment?

Speaker #2: How do I solve it today? And how do I follow it for the long term? Or what happens if we deploy agents and our agents go rogue?

Speaker #2: But before they deploy, they want to ensure a robust security harness around it. The most common questions we get are: What do I do about the vulnerabilities that Mythos is going to find in my environment?

Speaker #2: How do we make sure our agent doesn't go running to Hugging Face?

Speaker #2: How do I solve it today, and how do I follow it for the long term? Or what happens if we deploy agents and our agents go rogue?

Speaker #3: Excellent. Thank you.

Speaker #2: Rob.

Speaker #1: All right. Thank you, Rob.

Speaker #2: I'll keep your requests. I'll send you the company's name as soon as I buy it.

Speaker #2: How do we make sure our agent doesn't go running to Hugging Face?

Speaker #3: I appreciate that.

Speaker #1: All right. Thanks for the question, Rob. Next, we have Brian Essex from JP Morgan. Followed by Saket Kalia from Barclays.

Speaker #3: Excellent. Thank you.

Speaker #2: Rob.

Speaker #1: All right. Thank you, Rob.

Speaker #2: I'll keep your request, and I'll send you the company's name as soon as I buy it.

Speaker #4: Hey, Greg. Thanks for taking the question. Nikesh, it's great to see the acceleration in cyber performance. In only 200 net new logos from the Palo Alto install base, would love to get a sense of what those conversations are like.

Speaker #3: I appreciate that.

Speaker #1: All right. Thanks for the question, Rob. Next, we have Brian Essex from J.P. Morgan, followed by Saket Kalia from Barclays.

Speaker #4: Hey, great. Thanks for taking the question. Nikesh, it's great to see the acceleration in cyber performance. In only 200 net new logos from the Palo Alto install base, I would love to get a sense of what those conversations are like.

Speaker #4: How big are those deals relative to the rest of the cyber platform? And you still have a substantial amount of your install base. I think a lot of people focus on the cost synergies they forget about the revenue synergies.

Speaker #4: How much penetration do you think you can get into your install base with the cyber platform? Thank you.

Speaker #2: Look, I'm really excited about cyber. I think if you look at both ends and you rightfully articulate it, we have been able to really hit the ground running on the cost synergy side.

Speaker #4: How much penetration do you think you can get into your install base with the Cyber Platform? Thank you.

Speaker #2: You've seen that our margin is reverting back to what our standalone margin was in just about two quarters. And we think we'll be at a stable point coming into the next quarter.

Speaker #2: Look, I'm really excited about cyber. I think if you look at both ends, and you rightfully articulate it, we have been able to really hit the ground running on the cost synergy side.

Speaker #2: So to be able to transform a large company like cyber in nine months and get their margins up by 1,000 basis points or more, is already good work on the cost side.

Speaker #2: You've seen that our margin is reverting back to what our standalone margin was in just about two quarters, and we think we'll be at a stable point coming into the next quarter.

Speaker #2: But like you said, we didn't buy it because we had cost synergy. We bought it because we felt there was a need in the market for identity security.

Speaker #2: So, to be able to transform a large company like Cyber in nine months and get their margins up by 1,000 basis points or more is already good work on the cost side.

Speaker #2: And this was an inflection point. I think the phase one from our perspective was, don't break it, accelerate their momentum. And you've seen we've been able to do that.

Speaker #2: But like you said, we didn't buy it because we had cost synergy. We bought it because we felt there was a need in the market for identity security.

Speaker #2: We just hired a new leader. Last quarter, Sonny Singh, he's right now at our sales conference in Asia. Rallying the troops in cyber. The team has taken really well to joining Palo Alto.

Speaker #2: And this was an inflection point. I think phase one, from our perspective, was: don't break it, accelerate their momentum. And you've seen we've been able to do that.

Speaker #2: I think there's been phenomenal collaboration between the two teams. I'm excited. We just launched a new product called Mordant PAM. So cyber was in traditional PAM.

Speaker #2: We just hired a new leader last quarter, Sonny Singh. He's right now at our sales conference in Asia, rallying the troops in cyber. The team has taken really well to joining Palo Alto.

Speaker #2: Mordant PAM is an expansion category for PAM, something they hadn't spent a lot of time on before. The product team at cyber has been our idea now, I should say, has been amazing at being able to embrace it.

Speaker #2: I think there's been phenomenal collaboration between the two teams. I'm excited. We just launched a new product called Morada PAM. So, cyber was in traditional PAM.

Speaker #2: That product is generally available now. We expect to try and upgrade all of the existing traditional PAM customers to that. So there's a lot of activities we have going on in both on the upsell and expansion side as well as the net new sales side.

Speaker #2: Mordant PAM is an expansion category for PAM—something they hadn't spent a lot of time on before. The product team at Cyber has been, or I should say, has been amazing at being able to embrace it.

Speaker #2: That product is generally available now. We expect to try and upgrade all of the existing traditional PAM customers to that. So, there's a lot of activity we have going on, both on the upsell and expansion side, as well as the net new sales side.

Speaker #2: So as long as we can run at a faster growth rate than cyber ran individually, independently, and expand the margin by 11 basis points, I think that's a phenomenal acquisition for us.

Speaker #2: Not to mention that they have a pole position in being able to help with non-human identities and agents going forward because that is a whole new field where there is no established leader.

Speaker #2: So as long as we can run at a faster growth rate than Cyber ran individually and independently, and expand the margin by 11 basis points, I think that's a phenomenal acquisition for us.

Speaker #4: Got it. Very helpful. Thank you.

Speaker #2: Not to mention that they have a pole position in being able to help with non-human identities and agents going forward, because that is a whole new field where there is no established leader.

Speaker #1: All right. Thank you, Brian. Next, we have Saket Kalia from Barclays, followed by Fatima Boulani from Citi.

Speaker #5: Hey, Greg. Hey, guys. Thanks for taking my questions. Great finish to the year. Nikesh, maybe for you, you've said that mythos isn't a moment, but it's rather at the beginning.

Speaker #3: Got it. Very helpful. Thank you.

Speaker #1: All right. Thank you, Brian. Next, we have Saket Kalia from Barclays, followed by Fatima Belani from Citi.

Speaker #5: And so maybe the question here is, how are you seeing buying behavior change as the AI threat becomes the new normal? And what I mean by that is, do you see more of a willingness to platformize?

Speaker #5: Hey, great. Hey, guys. Thanks for taking my questions. Great finish to the year. Nikesh, maybe for you—you've said that Mythos isn't a moment, but rather the beginning.

Speaker #5: Do you see more pipeline growth than you would expect? Do you see more appreciation for value, less sensitivity in pricing? I guess I'm just curious if you can translate this new beginning to some of the deal dynamics that you saw in the quarter or the last couple of quarters.

Speaker #5: And so maybe the question here is: How are you seeing buying behavior change as the AI threat becomes the new normal? And what I mean by that is, do you see more of a willingness to platformize?

Speaker #2: Please make sure the sweets show up at Hamza's house the week before. Otherwise, you won't get your first spot to ask questions in the future.

Speaker #2: In terms of the momentum, look, I did say mythos is the beginning because what is happening is I've strived for eight years to kind of get CEOs' interest in cybersecurity.

Speaker #2: Please make sure the suits show up at Hamza's house a week before. Otherwise, you won't get your first spot to ask questions in the future.

Speaker #2: I couldn't, but Dario did a phenomenal job by having mythos because every CEO now wants to talk about what does it mean to us?

Speaker #2: In terms of the momentum, look, I did say mythos is the beginning, because what is happening is I've strived for eight years to kind of get CEOs' interest in cybersecurity.

Speaker #2: How do we get access to it? How do we test ourselves from a vulnerability perspective? But they're wise. They sit there and say, listen, I get it that this is the new normal.

Speaker #2: I couldn't, but Dario did a phenomenal job by having mythos, because every CEO now wants to talk about, what does it mean to us?

Speaker #2: People will be able to find vulnerabilities much faster. How do I solve this problem in the long term? That's really where the conversation starts about the only way to solve this problem in the long term is if something escapes bars to your perimeter, you've got to find it quickly and shut it down.

Speaker #2: How do we get access to it? How do we test ourselves from a vulnerability perspective? But they're wise. They sit there and say, "Listen, I get it that this is the new normal."

Speaker #2: People will be able to find vulnerabilities much faster. How do I solve this problem in the long term? That's really where the conversation starts: the only way to solve this problem in the long term is if something escapes past your perimeter, you've got to find it quickly and shut it down.

Speaker #2: That talks about modernizing their cyber estate. That talks about platformization. That talks about having an AI-driven SOC. So that's why we've been able to have so many conversations around the modernization of infrastructure.

Speaker #2: And every conversation is not about fragmenting their estate and buying yet more smaller vendors. It's more about finding a consolidated way of sort of standardizing on a platform, evaluating a platform.

Speaker #2: I think this is a big tailwind for the larger players in the sector. I don't think this is a moment where you will see, obviously, startups with some unique products and niche products which they are able to bring to market faster.

Speaker #2: And every conversation is not about fragmenting their estate and buying yet more, smaller vendors. It's more about finding a consolidated way of standardizing on a platform, evaluating a platform.

Speaker #2: It's customers will use in the interim. But I think this is definitely a long-term, I'd say, duration-changing trajectory change to our growth rate. Because you think about it, open source models are now already able to compete with the capabilities of mythos.

Speaker #2: I think this is a big tailwind for the larger players in the sector. I don't think this is a moment where you will see, obviously, startups with some unique and niche products—which they are able to bring to market faster.

Speaker #2: Its customers will use it in the interim. But I think this is definitely a long-term—I’d say, duration-changing—trajectory change to our growth rate. Because if you think about it, open source models are now already able to compete with the capabilities of Mythos.

Speaker #2: And this thing is going to get better, not worse. If that happens and this capability becomes commonplace, we have a short window by when to get all the cybersecurity technical debt, which hasn't been paid over many years, back to the mark.

Speaker #2: And this thing is going to get better, not worse. If that happens and this capability becomes commonplace, we have a short window in which to get all the cybersecurity technical debt—which hasn't been paid over many years—back to the mark.

Speaker #2: And I suspect there will be some major breaches over the coming years because customers have not been able to get their transformation act in place.

Speaker #2: And that's generally going to be a tailwind for all of us in this space.

Speaker #5: Very helpful. Thank you.

Speaker #2: And I suspect there will be some major breaches over the coming years because customers have not been able to get their transformation act in place.

Speaker #1: Okay. Thank you, Saket. Next, we have Fatima Boulani from Citi, followed by Matt Hedberg from RNBC.

Speaker #2: And that's generally going to be a tailwind for all of us in this space.

Speaker #6: Thank you for taking my question. Nikesh, you brought up this concept of technical debt so I wanted to zoom out and ask you a question in the context of something you announced earlier this week or a couple of weeks ago.

Speaker #5: Very helpful. Thank you.

Speaker #1: Okay, thank you, Saka. Next, we have Fatima Bellani from Citi, followed by Matt Hebberg from RNBC.

Speaker #6: Thank you for taking my question. Nikesh, you brought up this concept of technical debt, so I wanted to zoom out and ask you a question in the context of something you announced earlier this week, or a couple of weeks ago.

Speaker #6: Frontier AI critical defense. So one thing we haven't necessarily heard you talk about is this notion of operational technology. And the use case here potentially gaining critical mass and especially in the context of your own platformization strategy.

Speaker #6: Frontier AI critical defense. So one thing we haven't necessarily heard you talk about is this notion of operational technology, and the use case here potentially gaining critical mass, especially in the context of your own platformization strategy.

Speaker #6: So now that we know what the models are capable of in terms of insane vulnerability chaining, against a part of your technical environment that has historically been under-invested in, again, with a lot of technical debt, what are some of the gating factors you're still for you to be able to accelerate wallet capture?

Speaker #6: So now that we know what the models are capable of in terms of insane vulnerability chaining, against a part of your technical environment that has historically been underinvested in, again, with a lot of technical debt, what are some of the gating factors you're still seeing for you to be able to accelerate wallet capture?

Speaker #6: And then relatedly, how does that cooperation versus competition continuum with some of the frontier lab partners that you have get expressed in this market opportunity with OT that seems like it would be ripe for more capture?

Speaker #6: And then, relatedly, how does that cooperation-versus-competition continuum with some of the frontier lab partners that you have get expressed in this market opportunity with OT, that seems like it would be ripe for more capture?

Speaker #2: Fatima, a lot of questions in there. Look, first and foremost, I think nine months ago, we were all guilty and convicted of near death as cybersecurity and software because Frontier AI was going to eat all of our lunch and breakfast and dinner.

Speaker #2: Clearly, in the last six to nine months, it's become apparent that that's not happening. We're all going to be enjoying this feast together. And we've seen both OpenAI and Anthropic and even Google come to the table in terms of partnerships.

Speaker #2: Fatima, a lot of questions in there. Look, first and foremost, I think nine months ago we were all guilty and convicted of near death as cybersecurity and software, because Frontier AI was going to eat all of our lunch, and breakfast, and dinner.

Speaker #2: We have early access to these models. We're able to test them. We're able to test their cybersecurity capabilities. As I said in my prepared remarks, we were the first or are the first commercial partner allowed to use mythos as part of our testing harness.

Speaker #2: Clearly, in the last six to nine months, it's become apparent that that's not happening. We're all going to be enjoying this feast together. And we've seen both OpenAI, Anthropic, and even Google come to the table in terms of partnerships.

Speaker #2: We already use OpenAI 5.6 as part of our testing harness. We are able to bring multiple models to customers because the customers are quickly disenchanted from this notion of finding more vulnerabilities.

Speaker #2: We have early access to these models. We're able to test them. We're able to test their cybersecurity capabilities. As I said in my prepared remarks, we were the first— or are the first— commercial partner allowed to use Mythos as part of our testing harness.

Speaker #2: They want to know, what do I do about them? The last thing they want is more security problems. They have enough already. So the conversation is quickly shifting from, what do I do about this?

Speaker #2: We already use OpenAI 5.6 as part of our testing harness. We are able to bring multiple models to customers because the customers are quickly disenchanted with this notion of finding more vulnerabilities.

Speaker #2: And in that conversation is where the need for platforms, as I was mentioning earlier, comes up. In terms of OT specifically, I think the challenge is even more pronounced because OT is hard to patch.

Speaker #2: They want to know, what do I do about them? The last thing they want is more security problems—they have enough already. So, the conversation is quickly shifting from, "What do I do about this?"

Speaker #2: Even if you found a vulnerability in an OT instance or deployment, imagine patching an oil rig out in the ocean or imagine patching a bunch of technology which does not have remote access, cannot be remotely patched.

Speaker #2: Even if you found a vulnerability in an OT instance or deployment, imagine patching an oil rig out in the ocean, or imagine patching a bunch of technology which does not have remote access and cannot be remotely patched.

Speaker #2: You'd have to go there and fix it. The good news is, at least not here this week, so I'm going to do Lee right now.

Speaker #2: So we have actually built a capability where we could build signatures for OT vulnerabilities and open source vulnerabilities and deploy them in under four hours.

Speaker #2: You'd have to go there and fix it. The good news is, at least not here this week, so I'm going to do Lee right now.

Speaker #2: So we can find an open source vulnerability and OT vulnerability, deploy the fix in four hours, and propagate that to our software and hardware firewalls so that will stop the bad actors in their tracks.

Speaker #2: So we have actually built a capability where we could build signatures for OT vulnerabilities and open source vulnerabilities and deploy them in under four hours.

Speaker #2: Which is a far cry from the current standard of 55 days. It takes 55 days to patch open source vulnerabilities or OT vulnerabilities in the wild.

Speaker #2: So we can find an open source vulnerability and OT vulnerability, deploy the fix in four hours, and propagate that to our software and hardware firewalls, so that will stop the bad actors in their tracks.

Speaker #2: This will allow our customers to have the ability to block the bad actors for any network-related OT or open source vulnerability in under four hours.

Speaker #2: Which is a far cry from the current standard of 55 days. It takes 55 days to patch open source vulnerabilities or OT vulnerabilities in the wild.

Speaker #2: So it's a good thing you asked me what the gating factor was. The gating factor is really the customer's taking the time to understand what major changes do they need to make doing POCs, assessing what the environment looks like, thinking about who they want to deploy.

Speaker #2: This will allow our customers to have the ability to block bad actors for any network-related OT or open source vulnerability in under four hours.

Speaker #2: So it's a good thing you asked me what the gating factor was. The gating factor is really the customer's taking the time to understand what major changes do they need to make, doing POCs, assessing what the environment looks like, and thinking about who they want to deploy.

Speaker #2: That eventually getting down to deployment. This is not something customers are they take their time to go do the deployment. That's why I think it's a long-term tailwind and you will start seeing that in constant sort of overperformance in the industry on a quarterly basis.

Speaker #2: That eventually comes down to deployment. This is not something customers rush; they take their time to do the deployment. That's why I think it's a long-term tailwind, and you will start seeing that in constant, sort of, overperformance in the industry on a quarterly basis.

Speaker #2: But it's not going to be coding agent-style ARRs that we're seeing in the AI space. Which I'm envious of, but yeah.

Speaker #6: Goodly answer, but not good sideburns. Lee sideburn.

Speaker #2: But it's not going to be coding agent-style ARR's that we're seeing in the AI space, which I'm envious of, but yeah.

Speaker #2: Well, that's easy to fix.

Speaker #1: Okay. Thank you.

Speaker #6: Thank you.

Speaker #1: Fatima for the questions. Next, we have Matt Hedberg from RBC. Followed by Michael Turren from Wells Fargo.

Speaker #6: Good answer, but not good cyber's Lee sideburns.

Speaker #2: Well, that's easy to fix.

Speaker #4: Thanks, Tom. Nikesh, you guys have a longstanding vision of being the number one vendor in a category. I mean, you don't enter a market unless you think you can be the share leader.

Speaker #1: Okay, thank you, Fatima, for the questions. Next, we have Matt Hedberg from RBC, followed by Michael Tern from Wells Fargo.

Speaker #4: And so I guess putting Lee's hat on again, you've had a lot of success, obviously, in observability with standalone Chronosphere. You added a brace.

Speaker #7: Thanks, Hamza. Nikesh, you guys have a longstanding vision of being the number one vendor in a category. I mean, you don't enter a market unless you think you can be the share leader.

Speaker #4: Synthetic or you developed synthetics. Where are you from a functionality perspective now versus some of the sort of the historic market leaders there? And how much of this is share shift versus just like, this market's just getting bigger with AI and we think we can take a lion's share of it?

Speaker #7: And so, I guess, putting Lee's hat on again, you've had a lot of success, obviously, in observability with standalone Chronosphere. You added a brace.

Speaker #7: Synthetic or you developed synthetics—where are you from a functionality perspective now versus some of the historic market leaders there? And how much of this is share shift versus just, like, this market's just getting bigger with AI and we think we can take a lion's share of it?

Speaker #2: Well, look, the premise of Chronosphere has been that it was designed for the AI era. It is the net new technology. The premise of Chronosphere is that because of the large volumes of data that are being sort of spit out in the observability space, it is designed as a architecture that allowed you to have a lower total cost of ownership.

Speaker #2: Well, look, the premise of Chronosphere has been that it was designed for the AI era. It is a net new technology. The premise of Chronosphere is that, because of the large volumes of data that are being sort of spit out in the observability space, it is designed as an architecture that allows you to have a lower total cost of ownership.

Speaker #2: So Chronosphere is on average 30 or 40% cheaper than any of the leading incumbent observability solutions out there. From a parity of capability perspective, we started off being very good from an AI native perspective, from Traceable Logs and Metrics.

Speaker #2: So Chronosphere is, on average, 30% or 40% cheaper than any of the leading incumbent observability solutions out there. From a parity-of-capability perspective, we started off being very good from an AI-native perspective, from tracer logs and metrics.

Speaker #2: So a majority of Chronosphere's customers are AI native customers, including a very large frontier AI lab. With the absorption of Embrace and the development of synthetics, that will put us at par with some of the leading players on a cross sort of capability perspective, which allows us to go after the enterprise space.

Speaker #2: So, a majority of Chronosphere's customers are AI-native customers, including a very large frontier AI lab. With the absorption of Embrace and the development of synthetics, that will put us at par with some of the leading players from a cross-capability perspective, which allows us to go after the enterprise space.

Speaker #2: So that'll allow all the Palo Alto sellers to start selling for now restricting Chronosphere just to AI native sales because it's where it's most suited.

Speaker #2: But I expect the next six months, we'll get to a point where Chronosphere will be a competitive product in its category vis-à-vis other enterprise players.

Speaker #2: So, that'll allow all the Palo Alto sellers to start selling for now. We're restricting Chronosphere just to AI-native sales because that's where it's most suited.

Speaker #2: And then we have both an AI-first capability as well as a cost advantage. So that should allow us over time as the space normalizes to have multi-billion dollar ARR business.

Speaker #2: But I expect that in the next six months, we’ll get to a point where Chronosphere will be a competitive product in its category vis-à-vis other enterprise players.

Speaker #2: Very excited. We bought it when it was $85 million ARR. It's already crossed a half a billion ARR. We can clearly see the line of sight for that to keep getting bigger over the next few quarters.

Speaker #2: And then we have both an AI-first capability as well as a cost advantage. So, that should allow us, over time as the space normalizes, to have a multi-billion dollar ARR business.

Speaker #2: And then hopefully, address the enterprise market with it as well. Because remember, for us to reach our aspirations of a bigger business, we need to have multiple multi-billion dollar ARR businesses.

Speaker #2: Very excited. We bought it when it was at $85 million ARR. It's already crossed half a billion dollars in ARR. We can clearly see a line of sight for that to keep getting bigger over the next few quarters.

Speaker #2: Observability is such a TAM. SIM is such a TAM. And obviously, our network security business and identity business are similar TAMs.

Speaker #2: And then, hopefully, address the enterprise market with it as well. Because remember, for us to reach our aspirations of a bigger business, we need to have multiple multi-billion dollar ARR businesses.

Speaker #4: Thank you.

Speaker #1: Thank you, Matt. Next, we have Michael Turren from Wells Fargo, followed by Greg Powell from BTIG.

Speaker #2: Observability is such a TAM; SIM is such a TAM. And obviously, our network security business and identity business are similar TAMs.

Speaker #5: Thanks very much for taking the question. Greg, close to the year. Maybe just on the initial fiscal 27 guide, I'm curious how you approach that exercise given the inflection points taking shape across cyber.

Speaker #7: Thank you.

Speaker #1: Thank you, Matt. Next, we have Michael Tern from Wells Fargo, followed by Gray Powell from BTIG.

Speaker #5: You mentioned three major AI inflections you've seen form. We're still early in the overall 2027 cybersecurity budget discussion. So maybe just walk us through what you're assuming as a baseline and any key drivers of upside.

Speaker #8: Thanks very much for taking the question. Gray, close to the year. Maybe just on the initial fiscal 27 guide, I'm curious how you approach that exercise given the inflection points taking shape across cyber.

Speaker #8: You mentioned three major AI inflections you've seen form. We're still early in the overall 2027 cybersecurity budget discussion, so maybe just walk us through what you're assuming as a baseline, and any key drivers of upside you see on the horizon.

Speaker #5: You see on the horizon, we should focus in on as well. Thank you.

Speaker #3: Michael Lee.

Speaker #2: We take the guidance very thoughtfully and we look at where you are from a consensus perspective. We make sure we look at the underlying business plans of our businesses.

Speaker #2: Evaluate if we are able going to be able to meet beat or exceed your consensus. We're delighted to see that we expect with our execution and the tailwinds, we are going to be able to exceed your consensus.

Speaker #8: We should focus in on that as well. Thank you.

Speaker #2: We take the guidance very thoughtfully, and we look at where you are from a consensus perspective. We make sure we look at the underlying business plans of our businesses and evaluate if we are going to be able to meet, beat, or exceed your consensus.

Speaker #2: And that's how we guide.

Speaker #5: It's very clear. We look forward to.

Speaker #2: Go ahead.

Speaker #4: Yeah. No, I think Michael, look, we do look at a lot of different inputs. If I just look at a number of the different trends, we will look at what's happening to pipeline?

Speaker #2: We're delighted to see that, with our execution and the tailwinds, we are going to be able to exceed your consensus. And that's how we guide.

Speaker #4: Are we seeing traction? Do we see a trend in terms of what's going on with some of the new areas that we have? We take all of that, ingest it all, look at the resource requirement required territory planning, et cetera, et cetera.

Speaker #8: It's very clear. We look forward to it.

Speaker #2: Go ahead.

Speaker #7: Yeah. Now, I think, Michael, look, we do look at a lot of different inputs. If I just look at a number of the different trends, we will look at what's happening to pipeline.

Speaker #4: And that's effectively how we do it. It's a pretty well-established world-class process. I wouldn't say much has changed from a process point of view in the last five, six years that I've been here as the CFO and I think we've been pretty transparent and there have been a number of inflection points that we've been able to kind of like capture within our forecast criteria.

Speaker #7: Are we seeing traction? Do we see a trend in terms of what's going on with some of the new areas that we have? We take all of that, ingest it all, look at the resource requirements, required territory planning, et cetera, et cetera.

Speaker #7: And that's effectively how we do it. It's a pretty well-established, well-codified process. I wouldn't say much has changed from a process point of view.

Speaker #7: In the last five or six years that I've been here as the CFO, I think we've been pretty transparent, and there have been a number of inflection points that we've been able to kind of capture within our forecast criteria.

Speaker #5: Thank you.

Speaker #1: All right. Thank you, Michael. Next, we have Greg Powell from BTIG, followed by Meta Marshall from Morgan Stanley.

Speaker #3: Great. Thanks for taking the questions and congratulations on the really strong results. So I just want to make sure that I was looking at something correctly.

Speaker #8: Thank you.

Speaker #1: All right. Thank you, Michael. Next, we have Gray Powell from BTIG, followed by Mita Marshall from Morgan Stanley.

Speaker #3: I think last quarter you called out 200 million in competitive SASE displacements for the last nine months. This quarter, that number jumped to 450 million.

Speaker #3: Great, thanks for taking the questions, and congratulations on the really strong results. I just want to make sure that I was looking at something correctly.

Speaker #3: So I just want to make sure that those were comparable statistics because if so, well, you had a really big Q4. Either way, what's either way, the numbers are impressive.

Speaker #3: I think last quarter you called out $200 million in competitive SASE displacements for the last nine months. This quarter, that number jumped to $450 million.

Speaker #3: What's driving the improved pace of displacements and just overall strength in SASE relative to Pearson?

Speaker #3: So I just want to make sure that those were comparable with statistics, because if so, well, you had a really big Q4. Either way, the numbers are impressive.

Speaker #2: Greg, I think the number is 400, if I remember correctly. 450? Okay, it's 450. Good. Well, clearly, we had a good Q4. That's evident in our numbers.

Speaker #3: What's driving the improved pace of displacements and just overall strength in SASE relative to Prisma?

Speaker #2: So yes, we did have a good Q4. Look, the displacement is a consequence of two events. One, when SASE as a category came about early, it was a very internet-driven phenomenon.

Speaker #2: Gray, I think the number is 400, if I remember correctly. 450? Okay, it's 450. Good. Well, clearly, we had a good Q4. That's evident in our numbers.

Speaker #2: It was internet access-driven. But COVID changed all of that. When we hit the COVID mark, people wanted sort of access consistently both to the private access as well as internet access, which is where we come from.

Speaker #2: So yes, we did have a good Q4. Look, the displacement is a consequence of two events. One, when SASE as a category came about early, it was a very internet-driven phenomenon.

Speaker #2: We come from the private access space. And obviously, our product on the internet access space is now at about or far exceeds the competitive landscape we have in front of us.

Speaker #2: It was internet access-driven, but COVID changed all of that. When we hit the COVID mark, people wanted consistent access, both to private access as well as internet access, which is where we come from.

Speaker #2: It's really the sort of integration of SASE with SD-WAN, which we were early in. We were the first player to go acquire CloudGenix, integrate that to a SASE fabric.

Speaker #2: We come from the private access space, and obviously, our product in the internet access space is now at or far exceeds the competitive landscape we have in front of us.

Speaker #2: Having our SASE fabric be consistent with our hardware and software follow-up fabric allows our customers who use Palo Alto firewalls to actually gravitate towards our SASE solution as opposed to elsewhere.

Speaker #2: It's really the sort of integration of SASE with SD-WAN, which we were early in. We were the first player to go acquire CloudGenix, integrate that into a SASE fabric.

Speaker #2: And not just that, it also makes it an easier choice if they're looking to consolidate and have one platform because they already are using our consoles, our Starter Cloud Manager, our services, for the hardware and software follow-up use case.

Speaker #2: Then it doesn't feel like a big sort of change or to go adopt us on the SASE front as well because they already also have our agents in many cases, which do the VPN product is now a consistent agent of SASE.

Speaker #2: And not just that, it also makes it an easier choice if they're looking to consolidate and have one platform, because they already are using our consoles, our Starter Cloud Manager, our services for the hardware, and software follow-up use case.

Speaker #2: So we've surrounded the SASE sort of incumbents with effectively a complete platform where the choice of standardization or platform is a simpler choice for them if they choose to just replace the SASE piece because they already have the other elements from us.

Speaker #2: Then it doesn't feel like a big sort of change to go adopt us on the SASE front as well, because they already also have our agents, in many cases, which do the VPN product and is now a consistent agent of SASE.

Speaker #2: So we've surrounded the SASE sort of incumbents with, effectively, a complete platform, where the choice of standardization or platform is as simple a choice for them if they choose to just replace the SASE piece, because they already have the other elements from us.

Speaker #2: So sometimes it's that. Sometimes it's just perhaps customers want to modernize their SASE infrastructure.

Speaker #3: And just to clarify.

Speaker #4: Like it was 200 year to date at Q3 and it's 450 for the full year.

Speaker #2: So sometimes with that, sometimes it's just perhaps customers want to modernize their SASE infrastructure.

Speaker #3: All right. So that's a pretty big number for Q4. Thank you. That all makes a lot of sense.

Speaker #5: And just to clarify.

Speaker #1: Okay. Next, we have Meta Marshall from Morgan Stanley and our last question will be Brad Zelnick from Deutsche Bank.

Speaker #7: It was 200 year-to-date at Q3, and it's 450 for the full year.

Speaker #3: All right. So that's a pretty big number for Q4. Thank you. That all makes a lot of sense.

Speaker #6: Great. Thanks. Nikesh, you were mentioning kind of this addressing of the trillion dollars of technical debt. Platforms can help enterprises pay for that in some ways.

Speaker #1: Okay. Next, we have Mita Marshall from Morgan Stanley, and our last question will be from Brad Zelnik at Deutsche Bank.

Speaker #6: But just how do you think either about ways that you can help them in terms of professional services, investment, or other things that can help from just a speeding up the amount of technical debt they can address in a compressed period of time?

Speaker #6: Great, thanks. Nikesh, you were mentioning this addressing of the trillion dollars of technical debt. Platforms can help enterprises pay for that in some ways.

Speaker #6: But just how do you think either about ways that you can help them in terms of professional services, investment, or other things that can help with just speeding up the amount of technical debt they can address in a compressed period of time?

Speaker #6: Thanks.

Speaker #2: So as you know, a few years ago when we launched the platformization strategy, we have had very clear models in the market where we're willing to take staggered payment or align their contracts or deploy before their existing vendor has to be replaced to drive faster platformization.

Speaker #6: Thanks.

Speaker #2: So, as you know, a few years ago, when we launched the platformization strategy, we had very clear models of the market where we're willing to take staggered payment, or align their contracts, or deploy before their existing vendor has to be replaced to drive faster platformization.

Speaker #2: So we make all that available. Honestly, the constraint that you always run into it, the customers always have a full deck. They're already working on a series of things that they would like to get done in their enterprise.

Speaker #2: And today, with AI, there's a very large contingent of AI transformation that's out there. People want to transform customer support. They want to go do coding on aggressive basis.

Speaker #2: So we make all that available. Honestly, the constraint that you always run into is that the customers always have a full deck. They're already working on a series of things that they would like to get done in their enterprise.

Speaker #2: They want to deploy LLM. So this is yet another priority that must be managed in the context of that overall priority. So it's just a balance the customers strike.

Speaker #2: And today with AI, there's a very large contingent of AI transformation that's out there. People want to transform customer support. They want to go do coding on an aggressive basis.

Speaker #2: That's why they don't go whole hog and say, let's go replace everything tomorrow. They do sit down and say, let's have a more cohesive and intelligent transformation plan as a transformation plan is going to take five years is too long.

Speaker #2: They want to deploy LLM, so this is yet another priority that must be managed in the context of that overall priority. So it's just a balance the customers strike.

Speaker #2: You got to get it done sooner. So you typically end up in the one, two, three range, but it's not something that gets done in one quarter.

Speaker #2: That's why they don't go whole hog and say, "Let's go replace everything tomorrow." They do sit down and say, "Let's have a more cohesive and intelligent transformation plan." A transformation plan that's going to take five years is too long.

Speaker #2: And they want to sort of cold walk on. They want to get some stuff done as other vendors sort of fall off their sort of end-of-life periods or their contracts are for new.

Speaker #2: You’ve got to get it done sooner. So, you typically end up in the one, two, three range, but it’s not something that gets done in one quarter.

Speaker #2: So all I can say is the desire to standardize or platformize on larger vendors where products are at power or better than the state of the art of the market is becoming more and more of a trend.

Speaker #2: And they want to sort of crawl, walk on. They want to get some stuff done as other vendors sort of fall off their sort of end-of-life periods or their contracts are for new.

Speaker #2: So, all I can say is, the desire to standardize or platformize on larger vendors—where products are at par or better than the state of the art in the market—is becoming more and more of a trend.

Speaker #2: And that's generally in our favor.

Speaker #6: Great. Thanks.

Speaker #1: All right. Thank you, Mina. And last, but certainly not least, we have Brad Zelnick from Deutsche Bank.

Speaker #5: Wonderful. Thanks very much, Hamza. Nice to see everybody. Nikesh, you have strong credibility doing M&A at this point. And today's console acquisition seems directionally consistent with moving closer to autonomous security operations.

Speaker #2: And that's generally in our favor.

Speaker #6: Great. Thanks.

Speaker #1: All right. Thank you, Mita. And last, but certainly not least, we have Brad Zelnick from Deutsche Bank.

Speaker #4: Wonderful. Thanks very much, Hamza. Nice to see everybody. Nikesh, you have strong credibility doing M&A at this point, and today’s Console acquisition seems directionally consistent with moving closer to autonomous security operations.

Speaker #5: And I can ask the simple why console, but if you fast forward five years, in Palo Alto has succeeded beyond your wildest expectations, what's the most valuable activity that customers have completely stopped doing themselves because Palo Alto Networks is doing it for them?

Speaker #4: And I can ask the simple “why” question, but if you fast forward five years, and Palo Alto has succeeded beyond your wildest expectations, what's the most valuable activity that customers have completely stopped doing themselves because Palo Alto Networks is doing it for them?

Speaker #2: It's a great question, Brad. I think that's why I know why Hamza saves you for last. So if you believe that we're going to spend $5 trillion of CapEx in the next five years building data centers and AI capability, I have to believe that AI is going to be adding tremendous value to our lives in the enterprise space.

Speaker #2: It's a great question, Brad. I think that's why I know why Hamza saves you for last. So, if you believe that we're going to spend $5 trillion of CapEx in the next five years building data centers and AI capability, I have to believe that AI is going to be adding tremendous value to our lives in the enterprise space.

Speaker #2: Otherwise, it makes no sense to deploy $5 trillion in the ground. So I'm an optimist and believe that we will be using a lot of AI to do a lot of agentic tasks.

Speaker #2: And that's true cybersecurity has to become less manual and more agentic and more done by us than the customers themselves. Because the bad actors will be using AI from their angle, which means we have to make sure our customers are as agentified or AI-fied as the bad actors are.

Speaker #2: Otherwise, it makes no sense to deploy $5 trillion in the ground. So I'm an optimist and believe that we will be using a lot of AI to do a lot of agentic tasks.

Speaker #2: And if that's true, cybersecurity has to become less manual and more agentic, and more done by us than the customers themselves. Because the bad actors will be using AI from their angle, which means we have to make sure our customers are as agentified, or AI-fied, as the bad actors are.

Speaker #2: Now, that is not possible as you're discovering in every industry category you cannot deploy AI effectively until you have the right data in place, the right training data, the right data you have to break the silos and have things talk to each other.

Speaker #2: Now, that leads itself towards a cohesive unified data lake of some sorts, whether it's an enterprise IT data lake, observability data lake, a security data lake.

Speaker #2: Now, that is not possible, as you're discovering in every industry category. You cannot deploy AI effectively until you have the right data in place—the right training data, the right data. You have to break the silos and have things talk to each other.

Speaker #2: If you see strategically where we have been pivoting the business over the last two or three years, is we're a very data-first company. Now, we ingest a lot of data in XDR.

Speaker #2: Now, that leads itself towards a cohesive, unified data lake of some sort, whether it's an enterprise IT data lake, observability data lake, or a security data lake.

Speaker #2: We ingest 19 petabytes a day in the same product already, and we have just barely north of 1,000 customers. We have observability data, which is now the data of an entire frontier LLM that is being ingested to provide them observability.

Speaker #2: If you see strategically where we have been pivoting the business over the last two or three years, we're a very data-first company. Now, we ingest a lot of data in XDR.

Speaker #2: So we are becoming a data-oriented AI-first cybersecurity company. Our aspiration is to reduce the amount of human intervention in the act of detection, prevention, and remediation in the cyberspace.

Speaker #2: That is being ingested to provide them observability. So we are becoming a data-oriented, AI-first cybersecurity company. Our aspiration is to reduce the amount of human intervention in the act of detection, prevention, and remediation in cyberspace.

Speaker #2: So if you would ask me what's that north star, that's our north star. The question is, how do we get there? And that's where the whole company's focus in trying to get there.

Speaker #2: So in five years from now, if you were far exceeding our expectations of ourselves, I would be able to walk in to a company and say, you want to replace X?

Speaker #2: So if you would ask me, what's that North Star? That's our North Star. The question is, how do we get there? And that's where the whole company's focused—on trying to get there.

Speaker #2: So in five years from now, if we were far exceeding our expectations of ourselves, I would be able to walk into a company and say, "You want to replace X?"

Speaker #2: And our products will actually just look for validation from you and get the task done without having you to get into the nits and grits of how to configure things, what policies to write, because we've seen that across thousands of instances.

Speaker #2: Guess what? I have agents that can understand your deployment. My agents will replace that product. I can do that in under a week. And when I deploy my product, you'll need a lot fewer people, and our products will actually just look for validation from you and get the task done without having you get into the nits and grits of how to configure things, what policies to write, because we've seen that across thousands of instances.

Speaker #2: And we can bring that intellectual knowledge to bear. Today, if you look at enterprise products, every enterprise product starts dumb for the next customer.

Speaker #2: Despite being deployed for 100,000 customers, I think AI gives us the opportunity of learning from the multiple deployments we do and the multiple customers we have and show up more intelligent for the next customer every time.

Speaker #2: And we can bring that intellectual knowledge to bear. Today, if you look at enterprise products, every enterprise product starts dumb for the next customer.

Speaker #2: That's the aspiration we have.

Speaker #2: Despite being deployed for 100,000 customers, I think AI gives us the opportunity to learn from the multiple deployments we do and the multiple customers we have.

Speaker #5: Makes sense. Thank you.

Speaker #1: Thank you, Brad. All right. That concludes the Q&A portion of the call. I'll hand it back to Nikesh for any closing remarks.

Speaker #2: And show up more intelligent for the next customer every time. That's the aspiration we have.

Speaker #2: Just want to take the opportunity once again. Thank all of you guys for being here. Thank our customers, our shareholders, and all of our employees for what was a spectacular FY26 for all of us at Palo Alto Networks.

Speaker #4: Makes sense. Thank you.

Speaker #2: Thanks, Brad.

Speaker #1: All right, that concludes the Q&A portion of the call. I'll hand it back to Nikesh for any closing remarks.