The State of Agentic Cybersecurity - How Security Leaders Are Training, Testing, and Trusting Humans & AI Agents Together

The modern SOC is undergoing the most significant transformation in a generation. AI agents are no longer a “roadmap item”—they are embedded in your detection, response, and playbook execution. But as the line between human intuition and machine speed blurs, a critical question remains:

Can you trust AI agents will perform as expected when faced with real threats?

This inaugural State of Agentic Cybersecurity Report combines survey insights from 93 global CISOs and senior security leaders with exclusive, aggregated performance data. The results reveal a dangerous gap between perceived agentic preparedness and operational reality. 78% of security leaders report high confidence in their defenses. Despite that confidence, teams are scoring as low as 30% in security exercises. The report provides expert guidance on how to bridge the gap.

AI Security Maturity Model (AISMM)

Hot off the press from Cloud Security Alliance! The AI Security Maturity Model (AISMM) helps organizations assess, build, and improve their AI security programs. Aligning with common information security structures, processes, and responsibilities, the AISMM provides a practical roadmap for advancing AI security maturity across the enterprise.

Unlike other AI maturity models that focus on AI governance or individual AI projects, the AISMM specifically focuses on operationalizing an enterprise AI security program. The model utilizes domains that reflect real-world functions, including app security, incident response, and AI risk management. The AISMM addresses cross-functional concerns such as data privacy, regulatory compliance, provider risk evaluation, and AI deployment governance.