University students volunteer to solve problems with data-focused solutions at Volunteer Open Projects initial meeting.

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.

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

Research from Xiamen University of Technology Yields New Study Findings on Science and Technology (Health insurance fraud detection based on multi-channel heterogeneous graph structure learning ...

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

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.

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