PSD3 and PSR Push Banks Toward Privacy-Preserving Fraud Prevention

Summary
The article explains how PSD3 and PSR are shifting banks toward earlier fraud detection, and argues behavioral analytics can help protect customers while limiting personal-data collection and keeping risk decisions explainable.
Key points
- PSD3 and PSR are described as placing greater emphasis on fraud prevention and consumer protection, beyond secure payment authentication.
- The article argues that fraud signals can emerge before payment, including during social engineering, account takeover, or remote-access abuse.
- Behavioral analytics can assess risk across the customer journey and give banks opportunities to intervene before funds are sent.
- Fraud detection is distinguished from biometric identification; the article advocates using limited, relevant behavioral data rather than collecting more personal information.
- The author says explainable and auditable risk decisions support analyst, customer, and regulatory needs.
- ThreatFabric presents its Fraud Risk Suite as designed to avoid access to highly intrusive data such as messages, files, camera content, and microphone recordings.
Article Details
- Topic
- Privacy-preserving behavioural analytics for proactive payment fraud prevention under PSD3 and PSR