TMDD – continuous threat modelling that makes your code more secure
Threat models as code with AI-agent integration, but addresses a niche audience within security.
AI-maintained security annotations for code. Continuous threat modeling, enforced in CI.
Threat models that auto-update with your code via AI-maintained annotations.
Security engineers, development teams adopting threat modeling in CI/CD
Semgrep · Snyk · GitHub Advanced Security
Threat models as code with AI-agent integration, but addresses a niche audience within security.
36 controls across MCP security domains, but is a checklist—not a tool, agent, or enforcement mechanism.
MCP wrapper for SafeDep; valuable but depends entirely on Agentic Workflow adoption.
Eight specialist agents catch what Claude Code misses, but it's prompts not actual code analysis.
Maps AI-specific threats (including MAESTRO/agentic risks) to STRIDE and spits out a concise PDF with data flows, a 5x5 risk matrix, and compliance pointers — useful for teams that need a fast, documented starting point. The smart part is surfacing and labeling assumptions so reviewers can correct the model; what's missing is transparency about how those assumptions affect risk scores and integrations (editable diagrams, CI/CD hooks, or sample reports would sell it).
Annotation-to-HTML-comment conversion is neat, but CodePen and JSFiddle already exist.