The engine is open source. Live demo is free โ paste any ETH address and watch 22 rules run on real chain data.
Demo: https://t.co/jYu7BYUs7u
GitHub: https://t.co/nABK12HaDY
Full write-up: https://t.co/wuzxzOAB8B
I ran my fraud detection engine on the North Korean wallet that stole $625M from Axie Infinity.
224 transactions. $373 million.
Every single one came back CRITICAL.
Here's what 22 AML rules found on a real sanctioned blockchain wallet ๐งต
A side project built by one person, running on free public blockchain data, flagged $373M of state-sponsored money laundering at 100% accuracy.
The gap between "compliance on paper" and "detection in code" is real. Code tells you when your rules are right โ and when they miss.
AI is scaling faster than trust infrastructure.
Early movers who integrate privacy-preserving AI now will define future standards.
Full breakdown: [YOUR BLOG LINK]
What's your take? ๐ฌ
Built by @BionicBanker
๐ https://t.co/7mRA4lzrAz
Everyone's talking about AI in banking.
Nobody's talking about the privacy gap.
AI is scaling faster than trust infrastructure.
Here's the cryptographic solution hiding in plain sight ๐งต๐
The real question:
AI in banking is inevitable.
But will we build:
๐ด Systems that demand full data exposure?
or
๐ข Systems that prove trust without revealing truth?
Privacy by design. Or privacy as an afterthought. ๐ค