Every application requires managing permissions, and complexity is constantly on the rise. Permit.io provides permissions as a service (ReBAC, Policy as Code, APIs, and customer facing UI), so developers can check this as done and focus on their core product.
This is the 3rd launch from Permit.io. View more
Permit AI Access Control
Permit.io AI Access Control brings fine-grained authorization (FGA) to AI workflows, ensuring AI models interact safely with sensitive data, external APIs, and users - all without developers having to build this from scratch
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Launch Team / Built With
Permit.io
Love being apart of this amazing Launch!
Great to see a dedicated solution tackling AI-specific security and compliance challenges, so many AI systems are built quickly and overlook access control. Fine-grained authorization across RAG, external actions, and data filtration is definitely a step up for production-ready AI apps!
Let's gooooo πππ
Just Sign
@Permit.io Congrats on the launch! AI security is a huge challenge, and access control is often overlooked. The Four-Perimeter Framework sounds like a solid approach to keeping AI interactions secure and compliant. Excited to see how this helps teams build safer AI applications!
Permit.io
Thanks @ron_fybish1Β ! Looking forward to seeing you in the platform!
Andsend
Way to go Gabriel L. Manor
Permit.io
Thanks for the kind words,@aage_reerslev1Β !
Amazing concept - definitely a time saver!
Permit.io
@skailΒ looking forward to hear your experience with trying it π
Really impressed with Permit's AI Access Control integration. From the Langchain integration docs, it is straightforward to implement fine-grained permissions in AI applications without the security headaches. The JWT validation tools are particularly useful for authenticating requests to AI services.
Curious - are there plans to expand the retrievers to support more vector database integrations beyond FAISS? Or can it be combined with other vector store like BM25?
Permit.io
Thanks for the kind words, @taofiq_aiyelabeganΒ !
To your question: YES AND YES! Permit's LangChain retrievers built in a way that made it pluggable to every vector store in LangChain. Looking forward to see you in the platform, and hear your detailed review on it!
DiffSense
Any false negatives with a system like this, and if so how are you mitigating it to avoid disruption of service / user experience? I.e: When im working with OpenAI. Sometimes it kicks me out because I thinks im doing something im not suppose to. But all I do is work on code that is security related etc.
Permit.io
Hey, @sentry_coΒ ,
We tried to build our integrations in a way that puts the most structured policy checks in the unstructured world of LLM..
Actually what we (and trending frameworks like MCP and PydanticAI) is trying to do, is avoid the exact same mistakes that you describe here