Crogl has been awarded US Patent US12277177B1 for its core knowledge engine technology — the contextual reasoning capability that powers the company's autonomous security investigation platform.

The patent covers the knowledge graph architecture that enables Crogl agents to reason across heterogeneous security data sources without schema normalization. This is the foundational technology that allows Crogl to conduct end-to-end security investigations across SIEM, EDR, identity, cloud, and ticketing platforms simultaneously — translating analyst intent into precise, source-native queries.

Unlike traditional security automation that depends on predefined playbooks and normalized data schemas, Crogl's patented knowledge engine builds and maintains a dynamic contextual model of each customer's environment. This model captures relationships between users, assets, events, and configurations, enabling the AI agents to reason about novel threats that no playbook anticipated.

"This patent represents years of research into how security investigations actually work — not how vendors think they should work," said Monzy Merza, Founder and CEO of Crogl. "The knowledge graph is what makes the difference between a copilot that can only follow instructions and an autonomous investigator that can reason about what it finds."

The patented technology is core to all Crogl deployment modes — on-premises, private cloud, and air-gapped — and operates with full capability regardless of deployment model.