Security teams lack a practical way to operate consistently across the SIEMs, data lakes, cloud platforms, and security tools where that data already lives. As telemetry grows and infrastructure becomes more distributed, adding an AI assistant to an existing console doesn’t solve the architectural bottlenecks underneath the SOC.

This session will define Agentic SecOps as an operating model. Attendees will learn how governed agents can help execute repeatable work across data onboarding, federated search, detection engineering, and investigation, while analysts retain approval authority at the decisions that carry risk.

Anvilogic will present practical adoption paths for enterprise SOC teams: augmenting an existing SIEM, operating across a hybrid SIEM and security-data-lake architecture, and running security operations directly on cloud-scale data platforms. The session will examine architecture patterns, approval controls, portable detection content, common implementation pitfalls, and the metrics teams should use to determine whether automation is actually improving security operations.

Attendees will leave with a working definition of Agentic SecOps, a reference architecture for operating across distributed security data, and a phased roadmap for introducing agentic workflows without forcing a rip-and-replace.