Crogl

What it does

Crogl is an agentic AI platform for the security operations center (SOC) that autonomously investigates every alert an environment generates, from the routine to the unprecedented, without relying on predefined playbooks. Its core mechanism pairs a Knowledge Engine that continuously learns an organization's security processes with a Knowledge Graph holding live environmental context: entities, relationships, and behaviors. Investigations proceed through contextual reasoning over that graph rather than rule-based automation that stalls on anything outside its ruleset.

How it works

The platform connects directly to SIEM, endpoint detection and response (EDR), data lakes, and ticketing systems, querying each in its native format rather than normalizing telemetry into a separate store. When an alert fires, an orchestration layer plans and runs the investigation: it gathers context from the Knowledge Graph, cross-references data across sources, and a large language model (LLM) reasons over the evidence to reach a verdict. Crogl ships with three skills, Threat Hunting, Alert Investigation, and Report Creation, plus a skill builder, and produces a documented report for every alert while analysts retain the final decision.

Credentials and traction

Crogl runs in production across high-assurance environments where security data cannot leave the perimeter, including air-gapped federal deployments, critical infrastructure such as a major U.S. electric utility, and Fortune 500 financial institutions. A U.S. defense agency operates the platform inside a classified, air-gapped network. It is built for regulated security operations teams that must keep investigation data and AI inference entirely within their own infrastructure.