Imagine the SOC Without a Queue: From Alert Backlog to AI Hypothesis Engine

The traditional security operations center (SOC) model relies on a massive alert queue that overwhelms human analysts. Corelight’s agentic security operations shift this paradigm by using AI-powered agents to proactively investigate signals and test hypotheses, effectively eliminating the alert queue. This approach allows for continuous, asynchronous investigations, reducing analyst workload and improving threat coverage by starting investigations at the signal level rather than waiting for a backlog to build. The result is a more efficient and effective SOC, focusing human analysts on complex cases and providing actionable threat intelligence.