AI Security Threat Detection & SOC Automation

Multi-agent framework for coordinating specialized security agents (threat analyzer, incident responder, evidence collector) that collaborate through conversation to investigate and respond to security incidents autonomously.

Observability platform built for AI agents providing session replay, cost tracking, and LLM call monitoring—critical for auditing security decisions, tracking incident response timelines, and compliance reporting.

Open-source automation platform for orchestrating incident response workflows—integrates with SIEM tools, ticketing systems, and notification channels to automate alert triage, enrichment, and escalation.

Most capable LLM for complex threat analysis, malware behavior interpretation, and nuanced incident classification—handles multi-step reasoning required for sophisticated security investigations.

Open-source observability framework for tracing agent decisions, evaluating detection accuracy, and debugging false positives—enables continuous improvement of threat detection models.

Connects AI agents to 1000+ enterprise apps with managed OAuth—enables agents to autonomously interact with ticketing systems, communication platforms, and security tools for incident response.