Author: Security Weekly - A CRA Resource - Bewertung: 1x - Views:20
Traditional identity and security programs were built around long planning cycles. In this clip, the speaker argues that agentic AI has broken that model because organizations can no longer reliably predict how systems and AI-driven workflows will evolve.
Instead of static roadmaps, companies may need continuous identity assessments, adaptive governance, and shorter planning horizons. The challenge is especially difficult for executives trying to balance innovation with operational control and accountability.
The comparison to COVID highlights the speed and unpredictability of change — not just technically, but organizationally.
As AI agents begin making decisions and taking actions autonomously, security programs may need to operate more like ongoing risk management than fixed transformation projects.
Can enterprises still build long-term security strategies when AI systems evolve every few months?
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