SOCs face overwhelming alert volumes with severe analyst shortages. Each alert requires manual log correlation, threat intel lookups, and context assembly. Analyst fatigue causes missed threats. Tier-1 triage consumes skilled analysts on repetitive classification tasks better suited to automation.
AI agents receive security alerts and autonomously execute investigation workflows—querying logs, correlating indicators across telemetry, checking threat feeds, and assessing blast radius. Agents assemble findings into structured reports with confidence scores and recommended actions. Analysts review and approve containment. Continuous learning from feedback improves quality. Natural-language interfaces enable conversational threat investigation.
AI investigation agents, SIEM/SOAR platforms, threat intelligence correlators, natural-language security interfaces, automated triage classifiers, containment orchestrators
Enforce continuous, context-aware authentication and least-privilege access across all users, devices, and workloads via a unified identity fabric.
Security telemetry and identity data feed the agent investigation pipeline.
Centralize, encrypt, and automatically rotate all credentials, keys, and certificates through a dedicated secrets vault with complete audit logging.
Agent access to security tooling APIs requires robust secrets management.
Apply ML to correlate, deduplicate, and prioritize alerts in real-time, routing enriched incidents to the correct responder automatically.
Alert correlation and deduplication feed normalized security incidents to the agentic layer.
Nothing downstream yet.
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