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GitHub - fiddlecube/compliant-llm: Build Secure and Compliant AI agents and MCP Servers. YC W23

May 29, 2025 - github.com
Compliant LLM is a toolkit designed to ensure the compliance and security of AI systems, used by infosec, compliance, and general AI teams. It supports multiple LLM providers and can test prompts, agents, MCP servers, and GenAI models against various compliance frameworks like NIST, ISO, HIPAA, and GDPR. Key features include security testing against multiple attack strategies, compliance analysis, provider support via LiteLLM, an interactive visual dashboard, end-to-end testing, and detailed reporting. The installation process involves a simple pip command, and users can connect to their LLM by initializing API keys for different models.

The toolkit offers a quick start guide with options to use a dashboard, CLI, or configuration file for testing. It provides support through GitHub issues, email, and community platforms like Discord, X, and LinkedIn. The roadmap includes plans for full application pen testing, support for various compliance frameworks, multimodal testing, and more. Contributions from the community are encouraged, with guidelines provided for forking the repository and submitting pull requests. Compliant LLM emphasizes security and privacy, with telemetry tracking anonymized usage statistics, and offers an opt-out option.

Key takeaways:

  • Compliant LLM is a toolkit for ensuring compliance and security of AI systems, supporting frameworks like NIST, ISO, HIPAA, and GDPR.
  • It offers features such as security testing, compliance analysis, provider support, and a visual dashboard for analyzing test results.
  • Installation is straightforward with pip, and it supports multiple LLM providers through LiteLLM.
  • Contributions from the community are encouraged, with a clear process for submitting changes and improvements.
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