stride-gpt
An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.
No outside reports on file
Use this tool as one part of your threat modeling process, not as your only security check—always have security experts review the AI output, keep API keys private, and be careful about what application details you share with the model.
Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsRequires API key or tokenREVIEW
- Package sourceGitHub (mrwadams/stride-gpt)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/mrwadams/stride-gpt ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-27.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Stride Gpt
This tool uses OpenAI's GPT models to automatically create threat models for applications following the STRIDE methodology (a framework for thinking about security risks: Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege). It analyzes an application and generates potential threats an AI system might not catch on its own.
Who it’s for
Security teams, developers, and architects who want AI assistance in identifying potential threats to their applications early in design. It's useful for anyone learning threat modeling or needing to speed up the security review process.
Alternatives
- Microsoft Threat Modeling Tool: Official Microsoft tool for STRIDE analysis with manual design input.
- ThreatDragon: Free, open-source threat modeling tool with visual diagramming.
- Threats Manager: Commercial tool for structured threat modeling and risk assessment.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README at the GitHub link provided for installation instructions, as this tool may require OpenAI API credentials and specific configuration steps.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.1k
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- API key exposure: The tool needs an OpenAI API key, which could leak if not stored securely in environment variables or accidentally committed to version control.
- Incomplete threat models: AI-generated threat models may miss real vulnerabilities or hallucinate false threats, leading to false confidence in security.
- Prompt injection: Malicious application descriptions or code fed into the tool could trick the AI into generating misleading or harmful recommendations.
- Sensitive data in prompts: Application details, architecture, or code sent to OpenAI's API may be logged and could expose internal system design to third parties.
- Over-reliance on AI: Teams might skip human security review because they trust the AI output, missing context-specific risks only humans understand.
How to lower the risk
Least-privilege permissions
- Run the tool with minimal API access scopes.
- Restrict who can view or modify threat model outputs.
Network isolation
- Keep API calls over HTTPS only.
- Don't share API keys in logs or team chat.
Monitoring
- Track which applications have been analyzed and when.
- Review OpenAI API usage for unexpected activity.
Red flags to watch for
- Sudden spikes in API costs or request volume.
- AI-generated threats that don't match your application's design.
- Team members treating AI output as final security approval.
Questions
How do I install Stride Gpt?
Stride Gpt does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/mrwadams/stride-gpt.
Are there security reports about Stride Gpt?
No reports found for this package in our research (last checked 2026-10-30). Stride Gpt currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include api key exposure, incomplete threat models, prompt injection.
Is Stride Gpt actively maintained?
Stride Gpt has 1.1k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/mrwadams/stride-gpt before pinning it in production.
What are alternatives to Stride Gpt?
Notable alternatives to Stride Gpt include Microsoft Threat Modeling Tool (Official Microsoft tool for STRIDE analysis with manual design input), ThreatDragon (Free, open-source threat modeling tool with visual diagramming), Threats Manager (Commercial tool for structured threat modeling and risk assessment). You can also compare Stride Gpt side by side with other MCP servers in the Related tools section on this page.
Key facts
- Type
- App connector
- Publisher
- mrwadams
- Source code
- github.com/mrwadams/stride-gpt
- Est. context load
- ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
- Popularity
- 1.1k GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-27
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