Cybersecurity experts say AI and automation are changing how much impact manipulated data can have on government technology systems.
PCMag UK on MSN
Petco Hack Exposes Millions, Temu Accused of Spyware, and Ransomware Payments Hit $4.5B—Are You at Risk?
Cybersecurity news this week was largely grim. On the bright side, you still have one week remaining to claim up to $7,500 ...
“Fraud detection today is about precision, not just protection. The ability to differentiate legitimate customers from ...
Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase, banks require ...
Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...
Microblink, a provider of AI-powered identity verification, released new findings from its Fraud Lab showing a sharp ...
Proov has demonstrated that a readily available generative AI face-swapping tool could be used to evade liveness detection ...
Purdue’s PDID benchmark tests deepfake tools on real social media content, showing why false-acceptance rates matter for enterprise security.
The integration connects Confluent's Streaming Agents with Workato Enterprise MCP (Model Context Protocol). This enables organizations to automatically detect patterns in massive event streams and ...
Prosecutors say members of the Somali diaspora, a group with growing political power, were largely responsible. President Trump has drawn national attention to the scandal amid his crackdown on ...
Nacha announced today that Trustpair, a leading payment and vendor fraud prevention platform, has become a Nacha Preferred Partner for Account Validation/Fraud Monitoring/Risk and Fraud Prevention.
A judge in Minnesota is facing heat after she overturned a guilty verdict for an individual convicted in a $7.2 million fraud scheme that involved taxpayer money. Abdifatah Yusuf and his wife Lul ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results