
The article argues that AI-driven fears have oversold cybersecurity stocks, highlighting Palo Alto Networks, Okta, and Rubrik as attractive long-term buys. It cites strong revenue growth of 15% for Palo Alto to $2.6 billion, 11% for Okta to $761 million, and 46% for Rubrik to $377.7 million, while Rubrik’s net loss narrowed to $87 million from $115 million. Despite Wall Street concerns that AI could disrupt security software, the piece contends these firms remain essential and are trading at appealing valuations.
The market is pricing AI as a binary substitute for security spend, but the more likely outcome is budget reallocation toward higher-value layers, not outright displacement. The first-order selloff has created a second-order opportunity: if AI increases attack surface through agentic workflows, prompt injection, credential abuse, and model poisoning, then identity, data integrity, and platform orchestration become more mission-critical, not less. That favors vendors with broad control points and high switching costs rather than point tools. Among the names here, the key differentiation is not growth alone but attach rate and platform depth. Okta sits closest to the control plane for both humans and non-human agents, which creates an underappreciated expansion vector as enterprises formalize machine identities over the next 12-24 months. Rubrik benefits from a different dynamic: AI adoption raises the penalty for corrupted datasets, so backup/data resilience can migrate from a compliance line item to an AI-enablement budget bucket. Palo Alto looks less like a pure AI beneficiary and more like the cleanest consolidator of fragmented security spend if CIOs decide they need fewer vendors and faster deployment. The risk is that this becomes a valuation-only rerating story if enterprise budgets stay flat; that would favor the highest-quality franchises, but cap upside for the group after the initial multiple reset. A meaningful reversal would come if management commentary shows AI already driving incremental module demand, not just defensive holding patterns. Contrarian view: the consensus is too focused on AI as a product substitute and not enough on AI as an attack multiplier. Over the next few quarters, the trade may be less about whether these companies lose share and more about whether they capture incremental spend tied to securing AI infrastructure, which should support multiple stability even if revenue acceleration is modest.
AI-powered research, real-time alerts, and portfolio analytics for institutional investors.
Overall Sentiment
mildly positive
Sentiment Score
0.25
Ticker Sentiment