Cyber resilience becomes the ultimate measure of security success as AI reshapes the CISO role
CISO role evolution is accelerating as cyber resilience emerges as a defining benchmark of security success and AI forces enterprises to rethink not just how they defend against attacks, but how quickly they can recover from them. The stakes are steep: New research presented at this year’s show found the average cost of one hour […] The post Cyber resilience becomes the ultimate measure of…
Cyber resilience is becoming the ultimate measure of security success in the evolving role of Chief Information Security Officers (CISOs), as AI reshapes the cybersecurity landscape. A study of 1,000 CISOs found that the average cost of one hour of endpoint downtime is $19 million, highlighting the importance of recovery alongside prevention.
The convergence of identity, observability, and governance under AI pressure, combined with attackers moving faster than defenders, underscores the need for identity-first controls. The shift towards resilience benchmarks is one of four defining themes to emerge from conversations across the security stack, according to Krista Case, principal analyst and practice lead for cyber resilience and security at theCUBE Research.
Case explained that security leaders are now expected to help businesses safely roll out enterprise AI, shaping governance and operational guardrails as adoption accelerates. This collaboration extends to engineering, legal, compliance, and business leaders, making security a business function. As AI agents require access to data and the ability to take action with that data, security teams must prioritize execution and collaboration over chasing new point tools.
They must also engage in healthy conversations with vendors to tie the evolving roles back to doing their jobs in the agentic AI era. TheCUBE is a paid media partner for Black Hat USA, and their theCUBE AI Video Cloud is breaking ground in audience interaction.
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