
Standard audits are failing because they are static. They check the code, but they miss the Intent.
At AlfaNest Labs, we’ve been working on Clearance—an AI-native decision layer designed to provide a real verdict (Granted/Denied) instead of a 40-page PDF no one reads.
What’s under the hood:
25 Operational Functions: Deep-scanning liquidity locks, ownership risks, and contract logic.
6 AI Intent Functions: Using our CL-AI-SHIELD engine to detect "Semantic Drift" and malicious agent behavior.
You can see it in action here: https://cl.alfanestlabs.com/cl-demo
We are launching on Product Hunt tomorrow morning and I’d love to get your thoughts before we go live:
Is the 25+6 function split clear enough for a security tool?
Does the "Verdict" model (Granted/Denied) feel more useful to you than a traditional score?
Forgot to drop the most important part! We're going live on Product Hunt tomorrow morning. If you like the 25+6 logic, you can support us here: https://www.producthunt.com/products/clearance-cl?launch=clearance-cl