Artificial intelligence has collapsed the mean time to exploit from months to minutes, outpacing the weekly and monthly patching cycles agencies have long relied on. At the same time, cloud transformation has fused code, pipeline, cloud and runtime into one continuous life cycle, yet security often stays siloed in an outdated waterfall model that buries real threats in noise. Effective risk assessment, as NIST defines it, weighs likelihood against potential impact rather than chasing CVE lists. The defender's edge lies in accurate visibility and context, which let teams prioritize true risk and apply AI without falling prey to hallucinations or shadow AI.

This session, led by Bryan Rosensteel of Wiz, will cover:

• Why AI has collapsed mean time to exploit and broadened the attacker blast radius;
• How siloed, waterfall-style security creates visibility gaps across the cloud life cycle;
• How agentless visibility and context let teams prioritize true risk and secure AI adoption.