For decades, cybersecurity has been built around one assumption: defenders had enough time to:
- Discover vulnerabilities.
- Assess exposure.
- Deploy patches.
- Verify that critical systems remained protected.
That assumption shaped how organizations built security programs, how vendors developed security products, and how regulators measured cyber resilience.
That assumption no longer holds
AI has not created a new category of cyber risk. Rather, it has exposed the limitations of a security operating model built for a time when attackers operated at human speed. When AI can identify vulnerabilities, generate working exploits, analyze attack surfaces, and chain weaknesses together at scale, the timeline between exposure and exploitation compresses dramatically.
That shift is beginning to reshape more than cyber operations. It is changing how governments, regulators, and security leaders think about resilience itself.
The European Central Bank’s (ECB) recent to discover how to better manage your cybersecurity model.
The significance of the ECB’s letter is not that another regulator issued another cybersecurity directive. It is that one of the world’s leading banking supervisors publicly acknowledged what security teams have already been experiencing in practice.
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