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Compliant Llm

@fiddlecube

关于 Compliant Llm

Build Secure and Compliant AI agents and MCP Servers. YC W23

基本信息

分类

AI 与智能体

许可证

MIT

运行时

python

传输方式

stdio

发布者

fiddlecube

配置

暂无标准配置

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代码仓库

工具

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概览

What is Compliant Llm?

Compliant Llm is a comprehensive toolkit for ensuring compliance and security of AI systems. It is designed for infosec, compliance, and generative AI teams to test AI agents, prompts, MCP servers, and models against internal policies and frameworks such as NIST, ISO, HIPAA, and GDPR.

How to use Compliant Llm?

Install the package via pip install compliant-llm, then launch the interactive dashboard with the command compliant-llm dashboard. Configure your chosen LLM provider and begin running security tests and compliance analysis.

Key features of Compliant Llm

  • Security testing against 8+ attack strategies
  • Compliance analysis for NIST, ISO, OWASP, GDPR
  • Supports multiple LLM providers via LiteLLM
  • Interactive visual dashboard for test results
  • End-to-end testing of AI systems
  • Detailed reports with actionable insights

Use cases of Compliant Llm

  • Ensuring an AI agent complies with internal policies and HIPAA
  • Testing an MCP server for prompt injection vulnerabilities
  • Validating LLM outputs against GDPR data privacy requirements
  • Running security audits on generative AI models before deployment

FAQ from Compliant Llm

What compliance frameworks does Compliant Llm support?

It supports NIST, ISO, OWASP, GDPR, HIPAA, and other frameworks.

Which LLM providers can I use with Compliant Llm?

It supports OpenAI, Anthropic, Gemini, Mistral, Groq, Deepseek, Azure, vLLM Ollama, Ollama, Nvidia Nim, and Meta Llama via LiteLLM.

How

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