Dethernety vs ThreatZ

Dethernety is an open-source threat modeling platform that represents architecture as a graph for building and analyzing system models. Teams can create and explore models in a browser, from code, or from reports. Analysis follows the architecture graph to examine attack paths, blast radius, and residual risk. Exposures map to MITRE ATT&CK techniques and controls to D3FEND countermeasures for coverage-gap analysis. The platform has JavaScript and TypeScript modules for design, analysis, and issues, plus an OPA/Rego policy engine. Issue modules can connect to external trackers and synchronize remediation work in both directions. Users host their own graph database, with Neo4j and Memgraph listed as options. Analysis can use deterministic queries, single-agent AI acceleration, or multi-agent LangGraph workflows. The open-source edition runs on user-controlled infrastructure and can operate fully offline without cloud calls. The maker says models, data, and findings remain on that infrastructure, and that there is no background telemetry or usage-data transmission. The GUI is aimed at security teams; the CLI supports DevOps, CI/CD automation, and threat-model-as-code. Open Source is free; Enterprise is self-hosted with contract pricing and dedicated support.

ThreatZ is an automotive cybersecurity management platform for OEMs and Tier-1 suppliers tracking vehicle security and supply-chain evidence. It brings TARA, software bills of materials, attack paths, incidents and compliance evidence into a knowledge graph. Threat modeling supports STRIDE TARA, AI-assisted threat scenarios and attack paths with feasibility ratings. ThreatZ generates work products for ISO/SAE 21434, UN R155 and GB 44495-2024; the last requires PRC-region deployment. Its integration list includes more than 30 tools and formats, among them Vector CANoe, MATLAB System Composer, Jira, GitHub and SonarQube. Data interchange options include ReqIF, SARIF, OpenXSAM, STIX, AUTOSAR, PDF, CSV and Excel. Team and Professional are hosted AWS Marketplace subscriptions, while Enterprise supports private cloud, on-premises and air-gapped deployment. The listed Team plan costs $1,199 a year, billed annually, and allows up to three projects. Professional is listed at $499 a year, billed annually, for 5–50 users and up to 15 projects; Enterprise is $100 a year with custom billing and unlimited projects and users. A free four-week trial uses sample vehicle data; Professional and Enterprise trials require approval.