Most fraud detection gets deployed at crude, arbitrarily chosen thresholds that actively hemorrhage millions. Here's how interactive stress-testing fixes that.

Researchers adapted the lightweight DistilBERT language model using continued pre-training and retrieval techniques to ...

Financial fraud detection is a critical challenge for financial institutions due to the high volume of transactions and the highly imbalanced nature of fraudulent activity. This project develops a ...

Relationship and trust-based fraud doubled from 6% to 12.6%, demonstrating how criminals increasingly exploit psychological ...

The FCA will launch a quantum experimentation group in 2027 to examine machine learning applications for detecting fraud and ...

How ML secures blockchain payments with fraud detection, AML analytics, risk scoring, and real-time transaction monitoring.

Britain's Financial Conduct Authority is launching a joint experiment to test whether quantum computing can be used to detect ...

The Medicare fraud fight is becoming an AI arms race. Regulators are using technology to find suspicious patterns faster, connect ...

The UK FCA plans quantum fraud and money laundering tests for 2027. Explore the experiment’s limits and the evidence banks should demand before adoption.

Banks have plenty of fraud technology, but getting all of it to work as a cohesive line of defense is becoming a problem. The PYMNTS Intelligence report ...

Fingerprint launches Fraud Score, using device intelligence and customer fraud outcomes to train models that detect unique threats.