AI Systems Security Market to Hit USD 8 Billion by 2030

Why It Matters

AISS growth signals a new security frontier as AI becomes core to digital transformation, forcing enterprises to secure not just infrastructure but the reasoning and actions of AI systems. This creates sizable revenue opportunities for cybersecurity vendors and reshapes procurement priorities for security teams.

Key Takeaways

• AISS market projected to reach $8 billion by 2030
• Enterprise AI spend expected to hit $400 billion by 2030
• Around 60 vendors now offer AI security solutions
• Runtime guardrails become primary battleground for AI security
• CNAPP market grew to $4 billion in 2025, 60% CAGR

Pulse Analysis

The AI systems security (AISS) market is poised to explode, with Dell’Oro Group forecasting revenues near $8 billion by 2030. This surge mirrors the broader enterprise AI spend, which is expected to climb to roughly $400 billion as organizations move beyond chat‑bots toward production‑grade models, agents, and tool‑driven workflows. The rapid adoption of AI across sectors creates a distinct security category focused on protecting the entire AI lifecycle, not just the underlying infrastructure.

Around 60 vendors have entered the AISS arena, offering solutions that span model hardening, validation, red‑team testing, security posture management, and runtime guardrails. The most contested front will be runtime control, where continuous monitoring of prompts, retrieved context, tool calls, memory, and action chains is essential to prevent malicious manipulation. Security teams now face the dual mandate of safeguarding where AI workloads run and how those workloads reason and act.

The growth of AISS dovetails with the cloud‑native application protection platform (CNAPP) market, which reached almost $4 billion in 2025 and is growing at a 60% five‑year CAGR. Leaders such as Wiz, Microsoft, CrowdStrike, and Palo Alto Networks are capitalising on the convergence of AI and cloud‑native architectures. For enterprises, the expanding spend signals a need for integrated security stacks that can govern both traditional workloads and emerging AI systems, while investors see a lucrative, fast‑moving segment within the broader cybersecurity landscape.