Finextra

Cutting through the noise: How AI can reduce false positives in trade surveillance

False positives have long been one of the biggest challenges in trade surveillance, overwhelming compliance teams with alerts that don’t reflect genuine threats, but still need to be investigated as ...
Forbes

How Context Can Cut Through The Noise To Reduce Security Alerts And False Positives

David Schiffer is the CEO of RevBits and formerly of Safe Banking Systems (SBS). RevBits develops cybersecurity software for organizations. Let’s be honest—alert fatigue is real, and it’s relentless.
TheServerSide

False positives vs false negatives in machine learning

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between a false positive and a false negative is that a false positive ...
Compliance Week

How banks are responsibly embedding machine learning and GenAI into AML surveillance

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) to strengthen anti-money ...