Enterprise Cybersecurity Company
Built a production-grade autonomous agent system that triages, investigates, and responds to security incidents without human intervention.
The client's Security Operations Center (SOC) was drowning in alert fatigue. With 10,000+ security alerts per day, their team of 12 analysts could only manually investigate 3% of incidents.
Traditional SOAR tools were too rigid and required extensive manual playbook creation. They needed an intelligent system that could reason, investigate, and act autonomously.
The solution needed to integrate with 15+ security tools, handle multi-step investigations, and make high-stakes decisions with explainable reasoning.
We designed a hierarchical multi-agent system with specialized agents for alert triage, threat investigation, evidence gathering, and response coordination.
Built custom orchestration layer using LangGraph to coordinate between agents, manage investigation state, and handle complex decision trees.
Integrated with Claude for reasoning capabilities, with fallback to GPT-4 for reliability. All agent actions are logged and explainable.
Implemented a "confidence threshold" system where low-confidence decisions escalate to human analysts, while high-confidence actions proceed autonomously.
“Neumyth shipped a production AI SOC orchestration platform in 8 months that our internal team couldn't have built in 2 years. The system handles real incidents autonomously and we trust it.”
— Chief Technology Officer, Enterprise Cybersecurity Company