Adversaries have crossed a threshold. They now deploy AI to churn out infrastructure, scale attacks, and evade detection faster than any human team can manually track. The old security operations playbook, built on log collection, static feeds, and analyst triage, was not designed for this fight.
Anomali Agentic AI was built for exactly this moment. It operates at the decision layer of the Anomali Agentic SOC Platform, sitting above a unified security data lake and a continuously enriched threat intelligence engine. Rather than bolting AI onto legacy workflows, Anomali embeds agentic reasoning directly into detection, investigation, and response. The result is a system that does not just surface signals; it interprets them, correlates them against enriched threat intelligence and historical telemetry, and guides SecOps analysts toward action.
Most AI security operations tools focus on automating tasks. Anomali Agentic AI is designed to guide decisions. It reasons over complete telemetry enriched with threat intelligence to recommend and execute the right actions at the right time. Three capabilities make that possible. The Knowledge Graph bridges natural language and the Anomali Query Language, enabling multi-hop reasoning across threat intelligence and log data. Semantic Search understands analyst intent and filters noise to surface only what matters. And automated, context-aware recommendations translate threat context and historical patterns into suggested response actions, all within defined guardrails that keep human analysts firmly in control.
Customers processing millions of threat data points daily across 50-plus intelligence feeds have reported a 90% reduction in critical incidents, analyst time savings exceeding 50%, and an average response time of eight seconds, down from hours with legacy tools.
This is not incremental optimization. Anomali Agentic AI reframes what security operations can accomplish, turning what used to be a reactive, labor-intensive process into a confident, intelligence-driven one. It improves outcomes for organizations and, just as important, improves the daily working lives of the analysts who defend them.
