Tag: Fraud Detection

Financial institutions seeking a piece of the hot P2P payments market must act to prevent network fraud with a multilayered prevention approach that includes a robust fraud detection engine.

By leveraging blockchain for business, organizations can clarify historical records and streamline transactions while significantly boosting overall enterprise security.

Shir Levin used to report on government and law, but her journalism career wasn't data-driven enough for her. She now uses her experience in news, psychology and statistics to fight identity fraud.

According to the latest cybercrime statistics, more than 210 million attempted fraud attacks occurred during the first quarter of this year, representing a 62 percent increase from 2017. In its “Q1 2018 Cybercrime Report,” ThreatMetrix...

A recent study revealed that more than 1 million children living in the U.S. fell victim to identity fraud in 2017, costing families $540 million.

As cybercriminal tactics evolve, banks must employ fraud detection solutions that leverage artificial intelligence to evaluate new registrations for signs of money mule activity.

To defeat increasingly sophisticated fraudsters, security teams should pair their fraud detection tools with a device ID spoofing mechanism that automatically adapts to new threats.

Financial institutions looking to improve the customer experience in 2018 should implement multilayered security solutions to crack down on identity theft and detect new account fraud.

Omnichannel fraud has evolved to exploit the myriad technologies retailers have developed to enable consumers to purchase goods anytime, anywhere.

The threat landscape is expanding, and organizations must undergo a cognitive convergence to manage evolving security, fraud and operational risks.