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

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

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

Only 17% of enterprises have full visibility into their AI-generated code.

AI-driven detection achieves 92.4% accuracy compared to 67% accuracy for human analysts alone.

89% of enterprises are confident in their ability to secure AI-generated code.

Security teams' confidence in their ability to keep up with the security implications of AI adoption declined from 64% to 51%.

Shadow AI accounted for 20% of AI-related breaches affecting financial institutions.

30% of enterprises name AI governance and risk management as their top AI security challenge.

All tested AI models now complete vulnerability research tasks, and 50% generate working exploits autonomously

44% of enterprises report low or no confidence in their ability to detect AI agent-specific threats.

97% of financial organizations affected by AI-related breaches lack adequate access controls.

16% of enterprises report high confidence in their ability to detect AI agent-specific threats.

53% of enterprises have had AI agents exceed their intended permissions, leaving them vulnerable to increased risk.

47% of enterprises experienced a security incident involving an AI agent in the past year.

35% of enterprises report limited or no visibility into their AI-generated code.

19% of enterprises identify agentic AI risk as their top AI security challenge.

88% of enterprises believed AI could significantly enhance their security visibility in 2025.

17% of enterprises identify AI code security as their top AI security challenge.

15% of enterprises identify adversarial AI attacks as their top AI security challenge.