Crogl vs SQUDO AI®: Side-by-Side Comparison (2026)

Crogl: AI SOC platform using autonomous agents to investigate alerts within your environment. built by Crogl. Core capabilities include Autonomous alert triage and investigation by AI agents, Threat hunting across SIEMs, EDRs, data lakes, and cloud logs in native formats, Full audit trail and documentation of every investigation action..

SQUDO AI®: Sovereign Agentic AI SOC platform automating alert investigations with explainable AI. built by ITNB AG. Core capabilities include Automated end-to-end alert investigation, Explainable AI investigation reports, Tier 1 SOC task automation (approx. 80% of repetitive work)..

Both serve the Security Orchestration Automation and Response market but differ in approach, feature depth, and target audience.

Crogl differentiates with Autonomous alert triage and investigation by AI agents, Threat hunting across SIEMs, EDRs, data lakes, and cloud logs in native formats, Full audit trail and documentation of every investigation action. SQUDO AI® differentiates with Automated end-to-end alert investigation, Explainable AI investigation reports, Tier 1 SOC task automation (approx. 80% of repetitive work).

Crogl is developed by Crogl. SQUDO AI® is developed by ITNB AG. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Crogl and SQUDO AI® serve similar Security Orchestration Automation and Response use cases: both are Security Orchestration Automation and Response tools, both cover AI SOC, Agentic AI Security, Security Orchestration. Review the feature comparison above to determine which fits your requirements.