Synthetic data for AML: why we reject datasets that train a perfect model
Federated Synthetic AML Data: 12x lift, zero real data
How much data does an AML model need to catch financial crime?
We reject synthetic AML datasets when the model trained on them scores too well. It sounds backwards..
Federated synthetic AML data is the latest federated product launching from Consilient this year, an..
Every bank that builds a machine learning model to catch money laundering runs into the same wall: t..
According to The International Labor Organization, nearly 50 million people are trapped in modern sl..
I sat through FATF’s launch of its 2026-2028 agenda earlier this month. $1 trillion is the num..
Key takeaways from this article: FinCEN’s proposed AML rule sets one standard: demonstrate tha..
