GuardLink – A threat model that lives in your source code
Threat models that auto-update with your code via AI-maintained annotations.
CLI tool for Continuous Threat Modeling
Threat models as code with AI-agent integration, but addresses a niche audience within security.
Security engineers, DevSecOps teams, development leads embedding threat modeling into CI/CD
Microsoft Threat Modeling Tool · IriusRisk · Threagile
I am a security engineer. Oftentimes I observed situations where "technical" security levels were pretty high, but the business logic and authorization related issues made the apps pretty vulnerable. In my experience, no SAST or DAST is able to spot this kind of issues; some of them might be captured during the pentests, but the pentests are time-boxed, so you never have the guarantee that everything was thoroughly analysed.
That's why I decided to build this framework (name TMDD is a shortcut for Threat Modeling Driven Development, but it's more than that).
How it works: 1. you init the threat model with <code>tmdd init</code> command - the yaml files that describe the threat model are created in your repo (either empty or from the template). 2. you load threat modeling skill into your coding agent - I tested with Cursor and Claude Code 3. The agent does the threat modeling and updates yaml files 4. IF you want to add a new feature, you can use <code>tmdd feature "feature name"</code> command, that will update the YAML and generate security-focused development prompt, that you can then feed to agent 5. You can generate complete threat model report with diagram using tmdd-report
E.g. without TMDD, you ask Cursor to build a password reset flow and it might ship it without rate limiting or token expiration. With TMDD, the agent gets a prompt that lists those as required controls because they're in the threat model.
And even without the AI workflow, you get a structured, version-controlled threat model - which many appsec teams don't have today :)
Why is matters: 1. It takes Threat Modeling closer to the code - instead of using whiteboard, you do threat modeling with help from AI Agent can refer to exact lines in your codebase. You can also track mitigations and who's reviewed mitigations for the last time 2. It's similar to Claude Code Security in some ways, but works with any agent that has terminal access - no vendor lock-in ;) 3. Threat Model documentation lives alongside your repo and is stored in YAML, so you can version control it, etc. 4. you can build custom <code>catalog.yaml</code> file, and use a catalog of threats for threat modeling of all products at your company
Let me know what do you think about it. Repo is here: https://github.com/attasec/tmdd
We are also working on SaaS version (core remains open-source, but additional features, collaboration tools and UI will be available), you can learn more here: https://attasec.com
Threat models that auto-update with your code via AI-maintained annotations.
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).
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.
Resource blocked by 403 error, so no code or paper is actually accessible to verify.