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Mark0
Mark0

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Your MTTD Looks Great. Your Post-Alert Gap Doesn't

The cybersecurity landscape is facing a significant shift as AI-driven offensive capabilities accelerate, with adversary breakout times collapsing to minutes or even seconds. While detection technologies have improved significantly, the primary vulnerability now lies in the "Post-Alert Gap"β€”the time taken for human analysts to manually investigate, gather context, and respond to alerts. Traditional metrics like Mean Time to Detect (MTTD) no longer provide a complete picture of risk when attackers operate faster than human analysts can clear their investigation queues.

To counter this, the focus is shifting toward AI-driven investigations that automate context assembly and evidence-based reasoning at machine speed. By implementing agentic AI platforms like Prophet Security, SOC teams can achieve 100% investigation coverage and transition to more outcome-oriented metrics, such as detection surface coverage and false positive feedback velocity. This evolution is essential for closing the exposure window and maintaining a defensible security posture against AI-accelerated threats.


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