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
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.
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!
@onPermit integration offers two options for RAG data filtering:
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)
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
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.
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. 😊
@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.
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!
@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!
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?
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!
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.
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!
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Notion
Permit.io
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.
Permit.io
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!
Wilco
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?
Permit.io
@onPermit integration offers two options for RAG data filtering:
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)
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
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.
Permit.io
Thanks for the insights, @kaulshashank. Looking forward to seeing you in the platform
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. 😊
Congrats on the launch, Team Permit 🎉
Can you elaborate more on how this product prevent unauthorized API access in real-time AI interactions?
Permit.io
@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.
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 📈📈📈
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_fybish1 ! Looking forward to seeing you in the platform!
Amazing concept - definitely a time saver!
Permit.io
@skail looking forward to hear your experience with trying it 😉
Way to go Gabriel L. Manor
Permit.io
Thanks for the kind words,@aage_reerslev1 !
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_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!
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_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
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!
Permit.io
Thanks, @mikita_aliaksandrovich!
Looking forward to see you in the platform!
Congrats @Permit.io teams for this launch,
At Easexpense, we’re building a centralized SaaS marketplace with 55+ top software providers like Google, Microsoft, Zoho, AWS, and Freshworks—helping startups like yours grow faster through Lifetime Deals (LTDs).
LTDs can help you:
✅ Generate upfront revenue
✅ Acquire early adopters quickly
✅ Gain exposure without extra marketing costs
Would love to explore how we can help scale [Startup Name] through Easexpense. Let’s connect! 🚀
We have been diving deep into this, too. Going to check this out. GL on the launch
Permit.io
Thanks for the comment,@david_amrani .
Curios to learn about your finding from your research
Such an important area. Go team Permit!!
That’s awesome team Permit!!🥳🔥👾
Congratulations to @or_weis and his team. 🎉