We spent three days at Mandalay Bay showing what Agentic SecOps looks like when it runs the whole lifecycle rather than the alert queue.
Here is what we presented, and the session recording if you missed it.
We took over a few bays for an evening of golf, food, and drinks with customers, partners, and the Anvilogic team, and heard directly from practitioners about how they run detection engineering at scale.
Composing AI agents into repeatable SOC workflows for detection, tuning, and triage, with approval gates wherever the process needs one.
AI agents that enrich, correlate, and investigate alerts, so analysts start from answers, not raw events.
Hunt across Splunk, Sentinel, Snowflake, and Databricks without moving data.
The full session recording is up, covering Agentic SecOps as an operating model and three adoption paths that leave your existing stack in place.
Or talk to us directly and we will walk you through it on your own data.
