Ben Lang

Permit AI Access Control — Fine-Grained Permissions for AI-Powered Applications

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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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Ben Lang
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Congrats team Permit!
Gabriel L. Manor

AI security is often overlooked—until something goes wrong. AI assistants leaking private data, models making unauthorized API calls, or AI agents retrieving restricted information are problems we see too often.


With Permit.io AI Access Control, we’re bringing fine-grained authorization (FGA) to AI workflows—so developers can secure their AI models from the ground up.


Can't wait to see what you will build with this new set of integrations.

Or Weis

Hello again Product Hunt! Long time no see 😊
I’m super excited to launch Permit.io AI Access Control on Product Hunt today!
Building AI-powered applications is more common and easy than ever—but securing them properly is still a major challenge. AI agents handle sensitive data, execute actions autonomously, and interact with external tools, and access control for these workflows cannot be an afterthought.
With Permit.io AI Access Control, we’re introducing a structured way to enforce security at every stage of AI interaction—from input validation and retrieval-augmented generation (RAG) data filtering to external action enforcement and AI response moderation.
Powered by the Four-Perimeter Framework, this new release ensures AI systems remain secure, compliant, and production-ready.
We’d love to hear your thoughts—how are you currently handling access control in your AI applications? Let’s discuss in the comments!

On Freund

How does the RAG Data Protection feature work? Does it block unauthorized AI queries in real time, or does it pre-process data access permissions?

Gabriel L. Manor

@onPermit integration offers two options for RAG data filtering:

  1. Run a `getUserPermissions` query and append the filtered IDs to the RAG query, so the RAG will return only the allowed resources for the user (or the AI agent on-behalf of a user)

  2. Run a `filterObjects` function after getting the resources from the RAG so it will return only the allowed resources to the AI agent

Both method are fully supported with our LangChain and Langflow integrations

Shashank Kaul

Congrats team! The Four-Perimeter Framework sounds exactly what teams need right now - comprehensive security at every touch point of AI interaction without having to build complex authorization systems from scratch. As someone wanting to focus on building AI agents, this lets me trust you with authorization while I focus on the rest of my product.

Gabriel L. Manor

Thanks for the insights, @kaulshashank. Looking forward to seeing you in the platform

Filip Grebowski

Congratulations to my team for launching this! 🎉 I'm very proud of you!

We leveraged the Permit 4-Perimeter Framework to redefine AI access control. Traditional access control models struggle to keep up with the dynamic nature of AI, where permissions might need to change based on context, user behavior, or even the AI’s own decision-making processes. Our integrations ensure fine-grained, adaptive access control that scales with AI-driven environments, securing workflows without friction. 😊

Daniel Liechtman

Congrats on the launch, Team Permit 🎉

Can you elaborate more on how this product prevent unauthorized API access in real-time AI interactions?

Gabriel L. Manor

@dliecht all our integrations supports the Permit Check function, allow you to use it as a tool in the agent workflows. My best recommendation here is incorporating it with @Anthropic's MCP tools, making all the external access secure and reliable.

Shaked Weiss

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!

Daniel Bass

Let's gooooo 📈📈📈

Ron Fybish

@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!

Gabriel L. Manor

Thanks @ron_fybish1 ! Looking forward to seeing you in the platform!

Matt Osborn

Amazing concept - definitely a time saver!

Gabriel L. Manor

@skail looking forward to hear your experience with trying it 😉

Aage Reerslev

Way to go Gabriel L. Manor

Gabriel L. Manor

Thanks for the kind words,@aage_reerslev1 !

Taofiq Aiyelabegan

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?

Gabriel L. Manor

Thanks for the kind words, @taofiq_aiyelabegan !

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!

André J

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.

Gabriel L. Manor

Hey, @sentry_co ,


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

Mikita Aliaksandrovich
Launching soon!

Congrats on the launch of Permit AI Access Control! It's great to see a solution that addresses the critical need for secure and compliant AI workflows. This will definitely help developers ensure their models interact safely with sensitive data and external tools!

Gabriel L. Manor

 Thanks, @mikita_aliaksandrovich!

Looking forward to see you in the platform!

Lakhendra Kushwah

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David Amrani

We have been diving deep into this, too. Going to check this out. GL on the launch

Gabriel L. Manor

Thanks for the comment,@david_amrani .

Curios to learn about your finding from your research

Eyal Bino

Such an important area. Go team Permit!!

Nvqpgy4zwd

That’s awesome team Permit!!🥳🔥👾

Ankur Singh

Congratulations to @or_weis and his team. 🎉