Hey Product Hunt! 👋 I'm Eliel, CEO and co-founder of Qoris — and today we're launching Knox, something my co-founder Arthur and I have been building toward since day one. The problem we kept running into: Every enterprise we talked to wanted to deploy AI agents. Every compliance team was blocking it. Not because the AI wasn't capable — but because nobody could answer one question: what is that agent actually doing, and who approved it? What Knox does: Knox sits between your AI agents and every system they interact with. Before any action executes — an email sent, a record updated, a workflow triggered — Knox evaluates it against your policies. Approved → runs instantly. Flagged → routes to a human reviewer with full context. Blocked → stopped permanently. Everything logged with an immutable audit trail. This is not monitoring after the fact. It's interception before consequences. Why now: NVIDIA launched NemoClaw two weeks ago. LangGraph, CrewAI, AutoGen — every enterprise now has a clear path to autonomous agent deployment. What none of them provide is the governance layer that makes those deployments defensible to compliance teams, regulators, and boards. Knox completes the stack. Works with everything: Knox connects via MCP — the open protocol standard — so it governs any agent framework without migration or architecture changes. Where we are: Pre-seed. One paying customer live with 22x ROI. AI Workers launching alongside Knox — autonomous agents that execute real workflows end to end, every action governed by Knox before it runs. NVIDIA Inception Program member. Patent pending U.S. 63/907,730. Would love your honest feedback — especially from anyone building with LangGraph, NemoClaw, or CrewAI. What does your governance story look like today? — Eliel & Arthur, Qoris AI 🛡️

Knox By QORIS

Intercept AI agent actions before they execute — not after

Intercept AI agent actions before they execute — not after