Recent advancements in AI, highlighted by Anthropic's Mythos Preview model, have significantly accelerated offensive cyber capabilities, reducing attacker hand-off times to mere seconds. While detection engineering has improved, the "post-alert gap"—the time human analysts spend investigating alerts—remains a critical bottleneck. Traditional SOC metrics like MTTD no longer reflect the true risk when breakout times occur in under 30 minutes, leaving defenders struggling to keep pace.
To combat this, the industry is shifting toward AI-driven investigation platforms that automate context assembly and reasoning. This approach allows for 100% alert investigation coverage and shifts the focus to more meaningful security metrics, such as detection surface coverage and hunt-driven detection creation. By closing the investigation gap, organizations can move from measuring operational throughput to achieving actual security outcomes.
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