Crogl is a security operations platform that deploys AI-based agents to automate alert investigation and threat intelligence workflows within Security Operations Centers (SOCs). The platform operates using autonomous agents that investigate security alerts, perform threat hunting, and document findings without requiring manual analyst effort. Agents interact with existing security tools — including SIEMs, EDRs, ticketing systems, and data lakes — in their native formats, eliminating the need for schema normalization or data recoding. Supported integrations include Splunk, Microsoft Sentinel, CrowdStrike, ServiceNow, Jira, Databricks, Snowflake, Amazon S3, and Cribl. Core capabilities include: - Alert triage and investigation across all incoming alerts - Threat coverage by querying across SIEMs, data lakes, EDRs, and cloud logs - Threat intelligence advisory analysis - SIEM migration support, abstracting investigation logic from any specific SIEM - Automated audit trail generation for every investigation action A key architectural principle is data residency: the platform can be deployed on-premises, in a private cloud, or in air-gapped environments, with no data leaving the customer's environment. Instead of relying on hardcoded playbooks, Crogl uses context-based reasoning to handle novel scenarios and ships with pre-built skills for threat hunting, alert investigation, and report creation, along with a skill builder for custom workflows. The platform is positioned to reduce the volume of uninvestigated alerts and manual analyst workload by delivering complete, auditable investigation reports to analysts for final decision-making.