AI Security
We've curated 152 cybersecurity statistics about AI security to help you understand how AI is being used to detect threats, enhance defenses, and even automate responses in the ever-evolving landscape of cybersecurity in 2025.
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17% of organizations remain entirely unprepared for AI security.
45% of organizations are still developing AI governance programs.
AI security and risk management capability gaps affect 61% of organizations globally.
64% of organizations that rate themselves "very confident" in their AI security posture have experienced a confirmed AI identity incident.
17% of organizations that rate themselves "not so confident" in their AI security posture have experienced a confirmed AI identity incident.
91% of organizations expect identity investment to increase in the next 12–18 months.
38% confirmed incident rate for organizations using self-hosted or on-premises identity platforms.
56% of development professionals prefer a dedicated AI security agent separate from the code-generation tool to evaluate AI-generated code.
84% of organizations that rate themselves "extremely confident" in their AI security posture have experienced a confirmed AI identity incident.
12% of organizations emerged from the past year without an AI identity incident or close call.
23% of organizations reported a near miss for AI identity-related security in the past 12 months.
Only 11% of organizations report full AI security readiness.
85% of senior security and IT leaders at U.S. enterprises with 500+ employees express concern that AI-accelerated vulnerability discovery is outpacing their organization's ability to prioritize and respond.
94% of organizations explicitly see the importance of keeping humans in the loop for offensive security programs.
Only 17% of AI agent assigned defense credits are backed by public evidence — published research, inspectable code, or documented compliance.
44% of enterprises say AI-generated attacks are already indistinguishable from legitimate activity.
29% of security leaders identify insecure coding patterns as the leading risk introduced by AI coding assistants.
90% of security leaders have active concerns about security risks introduced by AI-generated code.
15% of security leaders cite misalignment with internal security policies as a major concern with AI-generated code.
83% of claimed AI agent defenses are not publicly verifiable.