Sesame IT HOSHI vs Sigma Query: Side-by-Side Comparison (2026)

Sesame IT HOSHI: Curated attack use case platform that feeds threat scenarios into Jizô AI. built by Sesame IT (Jizô AI). Core capabilities include Daily updated library of attack use cases, Automated conversion of threat intelligence into detection rules, Use case selection based on industry and risk exposure..

Sigma Query: Searchable repository of Sigma detection rules for threat hunting and SIEM. Core capabilities include Over 3,000 Sigma detection rules covering multiple platforms and attack scenarios, MITRE ATT&CK framework mapping with coverage of 385+ techniques, Multi-platform support including Windows, Linux, macOS, AWS, Azure, GCP, Kubernetes..

Both serve the Detection Engineering market but differ in approach, feature depth, and target audience.

Sesame IT HOSHI differentiates with Daily updated library of attack use cases, Automated conversion of threat intelligence into detection rules, Use case selection based on industry and risk exposure. Sigma Query differentiates with Over 3,000 Sigma detection rules covering multiple platforms and attack scenarios, MITRE ATT&CK framework mapping with coverage of 385+ techniques, Multi-platform support including Windows, Linux, macOS, AWS, Azure, GCP, Kubernetes.

Sesame IT HOSHI integrates with Jizô AI. Sigma Query integrates with Windows, Linux, macOS, AWS, Azure and 11 more. Check integration compatibility with your existing security stack before deciding.

Sesame IT HOSHI and Sigma Query serve similar Detection Engineering use cases: both are Detection Engineering tools, both cover MITRE Attack, Detection Rules. Key differences: Sesame IT HOSHI is Commercial while Sigma Query is Free. Review the feature comparison above to determine which fits your requirements.