Executive Summary
AI is inheriting cybersecurity ' s oldest problem: the gap between policy and action
Artificial intelligence is breaking traditional cybersecurity faster than organizations can adapt. In the post- Mythos era, where AI can autonomously discover and chain vulnerabilities at scale, attackers can weaponize weaknesses faster than teams can patch them, and time-to-exploit has collapsed from weeks to minutes, discovery is no longer the hard part. The challenge now is separating real risk from noise and acting on it.
This year ' s report measures overall cybersecurity maturity against NIST CSF 2.0 and, for the first time, AI risk maturity against NIST AI RMF 1.0. The two tell the same story. Both are advancing yet held back by the same weakness: organizations are far better at governing risk on paper than acting on it. AI hasn ' t created a new problem so much as inherited cybersecurity ' s oldest one, and amplified it. The real risk in 2026 isn ' t adopting AI. It ' s failing to manage the exposure it introduces fast enough to stay secure.
Reuven Aronashvili
Founder and CEO of Cye
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