CAIRIS vs Dethernety

CAIRIS is an open-source platform for specifying and checking systems with security and usability requirements in view. It brings together design information such as assets, countermeasures, factoids, personas, requirements, and architectural components. As a design develops, it can generate 12 views covering perspectives such as people, risks, requirements, architecture, and physical location, as well as threat models including Data Flow Diagrams. Its security analysis uses attack and architectural patterns to assess attack surface and check for known security problems and potential GDPR compliance issues. CAIRIS can produce Volere-compliant requirement specifications and GDPR DPIA documents. Its API supports design apps and connections to existing toolchains. It is free under the Apache Software License. Deployment options include Docker, Vagrant, or source installation on supported platforms; Ubuntu is the most tested. The web app supports modern browsers other than Internet Explorer, including Edge. A Chrome extension can turn highlighted webpage text into references linked to a CAIRIS server. The live demo is rebuilt nightly, and its data is visible to everyone.

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.