44% of enterprises say AI-generated attacks are already indistinguishable from legitimate activity.

15% of security leaders cite misalignment with internal security policies as a major concern with AI-generated code.

There is a 51-point gap between organizations' intent to secure AI in the cloud and their capability to enforce that security

77% of organizations have updated their security strategy for cloud in response to AI

78% of organizations report confirmed or suspected AI-related security incidents over the past year

64% of organizations say their architecture needs redesign to support AI workloads

76% of organizations rate datacenter security as critical for AI

88% of organizations say AI has increased security complexity

54% of organizations have experienced an AI-related security incident

78% of organizations have either experienced an AI-related security incident or cannot determine whether they have

26% of organizations report having the architecture to enforce their AI-related cloud security strategy

2,130 AI-related vulnerabilities were reported in 2025, a more than 200% increase since 2023.

57% of organizations report a significant capacity gap in AI security and risk management.

73% of organizations are using AI agents in their Security Operations Center at a moderate to high level.

Deployment of AI tools initially reduces performance by 10–20% before improvements are realized through repeated testing.

Organizations spent more than $1 million on average in the past year responding to AI agent identity and security issues.

35% of law firms cite data privacy and security as AI-related concerns.

969 malicious AI agent skills were identified carrying high-impact payloads.

85% of technology leaders prioritize AI-driven security automation.

48% of organizations report security concerns as the top barrier to AI adoption, up from 17% in 2024.