The Wall Street Journal

At Capital One, Enhancing Fraud Protection With Machine Learning

With large masses of data distributed across numerous storage centers, machine learning has been invaluable as Capital One ...

Your Fraud Detection Bleeds Money–Because You’re Evaluating It All Wrong

Most fraud detection gets deployed at crude, arbitrarily chosen thresholds that actively hemorrhage millions. Here's how ...
BIOENGINEER

Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
Analytics Insight

Fraud Detection Technologies: How AI and Machine Learning Help Prevent Financial Scams

Overview:  Fraud detection technologies use AI, machine learning and transaction monitoring to identify potentially fraudulent financial activity. By ...

Hummingbird Acquires Quantimon to Bring Machine Learning to AML Transaction Monitoring for the Agentic Era

Hummingbird, the AI-powered orchestration platform for financial crime compliance, today announced the acquisition of Quantimon, the machine learning platform for AML risk detection. The acquisition ...
VentureBeat

How to detect poisoned data in machine learning datasets

Almost anyone can poison a machine learning (ML) dataset to alter its behavior and output substantially and permanently. With careful, proactive detection efforts, organizations could retain weeks, ...

Hummingbird buys Quantimon to bring machine learning to AML transaction monitoring

Hummingbird, the AI-powered orchestration platform for financial crime compliance, today announced the acquisition of Quantimon, the machine learning platform for AML risk detection.