Finom Adds Resistant AI Transaction Forensics to Strengthen AML Monitoring
Finom has selected Resistant AI’s Transaction Forensics technology to strengthen its existing anti-money laundering transaction monitoring controls.
Resistant AI said on 12 August 2026 that its technology will sit alongside Finom’s in-house transaction monitoring system, adding additional context to existing alerts and helping identify unusual or previously unseen behavioural patterns.
The deployment is intended to improve alert prioritisation so analysts can focus on higher-risk cases first. Resistant AI says its models analyse relationships between identities and transactions to surface patterns associated with techniques such as layering and money muling, while providing explainable outputs for investigators.
Finom, a digital B2B financial platform serving entrepreneurs and small businesses, said the added capability is designed to strengthen detection without creating unnecessary friction for legitimate customers.
The move reflects a broader direction in financial-crime technology: rather than replacing existing transaction monitoring systems outright, firms are increasingly layering AI-based anomaly detection and behavioural analytics on top of established controls to improve prioritisation and identify activity that static rules may miss.
