Crogl

Crogl is an AI-driven Security Operations platform that deploys autonomous agents to handle alert investigation and threat hunting within a customer's own environment. The platform is designed to address the volume of uninvestigated alerts and unprocessed threat intelligence advisories that SOC teams typically face. How it works: - Agents autonomously gather context, query connected security tools, and cross-reference data across alerts and threat advisories - Each investigation is fully documented and auditable, with findings surfaced to analysts for decision-making - Analysts receive completed investigation packages rather than raw alert queues Key operational capabilities: - Alert triage and investigation across routine and novel events - Threat hunting across SIEMs, data lakes, EDRs, and cloud logs in their native formats - SIEM migration support by abstracting investigation logic from the underlying SIEM - Automated report and documentation creation for every investigation action Deployment and data handling: - Can be deployed on-premises, in a private cloud, or in air-gapped environments - No data is transmitted outside the customer's environment by design, not as an optional configuration Investigation logic: - Ships with pre-built skills for threat hunting, alert investigation, and report creation - Includes a skill builder for custom investigation workflows - Agents reason from context when encountering unknown scenarios rather than relying on static playbooks All investigation actions, queries, findings, and decisions are recorded to the customer's ticketing system to support audit and compliance requirements.