On-Chain Analytics and AML – How do you really use it for crypto?
Alright, so I've been digging into the whole crypto compliance space lately, and specifically how on-chain analytics are supposed to help with AML. I get the theory – identifying suspicious transactions, tracing funds, linking addresses to real-world entities. We're using one of the big platforms, and it's spitting out alerts constantly, mostly low-risk stuff or transactions to well-known exchanges.
My problem is translating these insights into actionable intelligence for our AML program. It feels like we're drowning in data without a clear process for filtering what's genuinely risky versus just noise. For those of you actually running crypto compliance programs, how are you effectively integrating these analytics tools? Are you building custom rules, or just sifting through every flag? More importantly, how do you manage the false positives without totally bogging down your compliance team?
Sounds about right. It's like having a smoke detector that goes off every time you toast bread. Technically, it's working, but the signal-to-noise ratio could use some serious tuning, especially when the 'fire' is just another hop to Binance.