Imagine the SOC Without a Queue: From Alert Backlog to AI Hypothesis Engine
Corelight argues agentic AI should replace SOC alert queues with hypothesis-driven, machine-run investigations, reserving humans for judgment.
A Corelight opinion piece argues traditional SOC alert queues guarantee most alerts go unreviewed because human analysts are the investigative bottleneck. It proposes agentic AI that investigates signals within seconds, tests hypotheses against network telemetry asynchronously, and escalates only evidence-backed cases to humans. The vendor claims this inversion lowers cost per investigation, expands coverage, and converts security telemetry into actionable evidence.
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