Build Secure and Compliant AI agents and MCP Servers. YC W23
Compliant LLM is your comprehensive toolkit for ensuring compliance and security of your AI systems.
Infosec, compliance, and gen AI teams use compliant-llm to ensure that their AI agents are secure and compliant with internal policies and frameworks like NIST, ISO, HIPAA, GDPR, etc.
It supports multiple LLM providers, and can be used to test prompts, agents, MCP servers and GenAI models.
Go through our documentation for more details.
# install
pip install compliant-llm
# run the dashboard
compliant-llm dashboard
Configure your LLM provider and run attacks
Contact: [email protected]
Meet: ๐ Find a slot
Community: ๐ฌ Discord, X, LinkedIn
๐ Book a slot
Developers | Contributors |
---|---|
Those who build with compliant-llm . | Those who make compliant-llm better. |
(You have import compliant-llm somewhere in your project) | (You create a PR to this repo) |
We welcome contributions from the community! Whether it's bug fixes, feature additions, or documentation improvements, your input is valuable.
We take data security and privacy seriously. Please refer to our Security and Privacy page for more information.
Compliant LLM tracks anonymized usage statistics to improve the product. No private or personally identifiable information is tracked.
You can opt-out by setting export DISABLE_COMPLIANT_LLM_TELEMETRY=true
.
@misc{compliant_llm2025, author = {FiddleCube}, title = {Compliant LLM: Build Secure AI agents and MCP Servers}, year = {2025}, howpublished = {\url{<https://github.com/fiddlecube/compliant-llm}}>, }
No configuration available
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