82% of organizations cannot see AI runtime behavior in real time.

96% of enterprises have no automated way to stop a hijacked AI agent.

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

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

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

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

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

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

88% of organizations say AI has increased security complexity

76% of organizations rate datacenter security as critical for AI

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

88% of organizations have faced AI-related security challenges.

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

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

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

23% of organizations prioritize token layers for AI delivery and security.

23% of Chief Information Security Officers cite lack of AI security expertise as their top barrier.

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

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

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