AI-driven risk is expanding from human misuse to machine autonomy, and the controls are still working to address the first challenge. The survey points to four architectural priorities: continuous visibility into all AI activity including agent and M2M traffic, inline enforcement without creating friction and latency, semantic
aware data controls that evaluate meaning rather than patterns, and extending zero trust to non-human identities (NHIs). The chapters that follow measure how mature most organizations are, and how to close the execution gap.
Inside, you’ll discover:
- AI tools are now deployed at 73% of organizations, but governance that enforces security and policy in real time has reached only 7%.
- 90% increased AI security budgets this year.
- 94% AI activity is invisible to security.
- AI is rendering legacy data loss prevention powerless.
- Agents act without guardrails.
- Too much AI security runs on trust.
As your trusted security partner, we help you integrate and deploy AI Security Platforms with our own AI risk advisory so you get both the technology and the expertise to act on what you find.
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