Got $5,000? These 2 AI Security Growth Stocks Wall Street Says Could Surge 58% or More

JPMorgan Private Bank projects cybersecurity spending of $240B in 2026 growing at an 11% annualized rate to $320B by 2029, with AI-related cybersecurity spending accelerating 3–4x faster. Analysts are bullish on two names highlighted: Zscaler (median target $220, ~58% upside) and Atlassian (median target $150, ~120% upside); Zscaler raised FY revenue and ARR guidance to 24%, while Atlassian guides ~22% revenue growth (24% cloud) and cut ~10% of staff. Both companies remain GAAP unprofitable; Zscaler trades at ~30x forward earnings (down from 52) and Atlassian at ~12x, supporting the view that cybersecurity/AI security is a sector tailwind worth positioning for.

Analysis

The secular rerating of cybersecurity is being driven less by headline budgets and more by two technical inflections: (1) agentic AI increases lateral movement and supply‑chain attack vectors, which raises demand for continuous telemetry and identity‑centric controls (SASE/zero‑trust) rather than one‑off endpoint products; and (2) enterprise AI stacks create concentrated, high‑value infrastructure (GPUs, NICs, orchestration layers) where a single breach yields outsized loss, so buyers prioritize vendors that can instrument and harden the entire access path. That favors companies with high telemetry density, channel reach into cloud transformation projects, and product moats around policy orchestration — a different set of winners than legacy signature or detection vendors.

Short‑term risk is dominated by expectations and procurement lags: big government and enterprise deals book irregularly and can flip a year of growth if delayed, while valuation multiples remain vulnerable to narrative rotation if cloud providers accelerate native controls. Over 6–18 months the larger reversal risk is commoditization via embedded model‑based security primitives from hyperscalers; over 2–5 years the durable winners will be those who convert telemetry into policy orchestration and cross‑product revenue, not just point products.

Tactically, this creates a two‑axis trade: own durable telemetry and orchestration exposure (cloud integrations, SASE, identity) while hedging commoditization exposure (pure play detection or narrowly focused endpoint vendors). Simultaneously, buy optionality on AI infrastructure suppliers (accelerator/chip vendors and switches) because more secure AI deployments raise incremental spend on certified hardware and network segmentation, a multi‑year follow‑on to software budgets.

Key Decisions for Investors

• Long ZS (or SASE leaders) via 9–15 month call spreads: buy Jan 2027 call spread to cap premium (e.g., long 1st‑line call / short higher strike) sized 1–2% NAV. Rationale: capture re‑rating if enterprise AI and agentic agents drive multi‑year SASE migrations; risk is valuation compression from cloud-native alternatives — max loss = premium, target 40–80% upside to spread peak.
• Pair: Long TEAM (productivity + cloud security adjacencies) / Short high‑multiple pure endpoint names (e.g., CRWD) for 6–12 months, equal notional. This isolates collaboration SaaS monetization from pure security multiples; expect 1:1 downside protection if sector multiples derate, with potential 2:1 upside if TEAM executes cloud migration and cost cuts.
• Long NVDA exposure (dec‑2026 or jan‑2027 calls) sized as market beta hedge to capture higher AI infra spend tied to secure deployments. Upside asymmetric if enterprise spends on certified GPU stacks; tail risk is macro or TAM saturation — limit position to 2–3% NAV, take profits 30–50% above entry.
• Hedge procurement/timing risk with short‑dated put protection on large‑cap S&P or tech ETFs (6–9 month). If a wave of deal deferrals or policy reversals hits, this protects portfolio drawdown while giving time for durable adoption signals to materialize.
• Watchlist & trigger: add to size on two binary signals — (a) >=$50M announced multi‑year government/enterprise SASE deal or (b) hyperscaler launch of native, enterprise‑grade model security with clear channel economics; failure to see either in next 3 quarters argues for trimming long security exposure.