Ritambhara’s journey in contributing to Fraud Detection and Anti-Money Laundering initiatives began within the credit industry, where she initially focused on data analysis and rule-based systems.

Instead, the fraud detection efforts rely on machine learning, the subset of AI that excels at analyzing vast amounts of data, and making decisions and predictions based on what it’s learned.

Fannie Mae teams up with Palantir to launch an AI-powered Crime Detection Unit, targeting mortgage fraud with unprecedented speed, depth, and data access.

As companies continue to innovate and embrace new technologies, utilizing geolocation data will be key to advancing fraud detection efforts.

First and only real-time solution that aggregates and computes fraud-detection features for massive data volumes with 100% precision and reliability ...

Cyberscope, the Web3 security arm of TAC InfoSec Limited (NSE: TAC), a provider of cybersecurity and vulnerability management ...

Overview Data science transforms raw information into actionable insights, helping businesses make smarter decisions, reduce risks, and operate more efficiently ...

New research from the College of Engineering and Computer Science at Florida Atlantic University addresses this challenge by pinpointing fraudulent activity in the "vast sea" of big Medicare data.