AgentTrust OS
Certify, govern and audit AI agents before they act
Start new thread

AgentTrust OS - Certify, govern and audit AI agents before they act

by•
AgentTrust OS is the runtime trust layer for AI agents. It sits between an agent's decision and the business action that follows: certify agents before they ship, check every execution in real time (approve, retry, escalate or block in under 20 ms, no LLM needed), and keep a tamper-evident audit trail. Wrap an existing agent with one decorator. Data can stay inside your network. Built for developers shipping agents and for security and compliance teams who must prove those agents behaved.

Add a comment

Replies

Best
Hunter
📌
Hi Product Hunt, I'm Muhammed from InfiniAI Technologies. We built AgentTrust OS because teams are shipping AI agents that can move money, send customer emails and touch data, but AI is probabilistic: the same prompt can give a different answer every run. A wrong amount, a risky reply or a prompt injection looks like success until someone finds out later. AgentTrust sits between an agent's decision and the action that follows, so you can make agent behaviour deterministic where it matters: - Certify: scorecards before an agent ships - Runtime gate: approve, retry, escalate or block every action in under 20 ms, no LLM needed - Human review: risky actions go to a person, and the agent gets a signed callback - Audit: a tamper-evident, hash-chained record you can hand to auditors - Self-host: your data can stay inside your network I'd love honest feedback: which agent action would you most want blocked before it executes?