AletheionAGI: Grounded AI - authorized evidence and fail-closed security

I built AletheionAGI around a simple concern: AI agents are increasingly being connected to customer data, but a fluent answer is not necessarily an authorized or grounded answer. I wanted a layer that sits between retrieval/memory and the final response, checks what evidence the agent is actually allowed to use, and fails closed when sufficient evidence is not available. Security was treated as something to test, not just claim. We ran a 500-case grounding and security benchmark against other solutions and also submitted the production system to an independent Strix assessment. There is still a lot I want to improve, and I’m especially interested in feedback from people building customer support agents, RAG systems, or other AI applications that handle sensitive data. If you try it, I’d genuinely like to hear what breaks.

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p/aletheionagi

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2mo ago

How are you preventing cross-tenant data leakage in AI agents?

As AI agents get access to customer records, RAG pipelines and persistent memory, I think one issue deserves more attention: authorization at the evidence layer.

It is not enough for an LLM to retrieve relevant information. It also needs to know whether that evidence is authorized for this specific requester, tenant and response.

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