As consumers have more access to AI agents that can act on their behalf – including by making credit card purchases – it can ...

Delta Air Lines has an outdated, rarely enforced antifraud policy that may require travelers to present the physical credit card used to purchase their tickets. Failing to present the card when ...

BRIDGEPORT — City police are looking for the public's help identifying a man who placed a credit card skimmer at an East Main Street supermarket on Wednesday, officials say. In a release, the ...

AI is being positioned as a helpful tool to save us time, but that convenience comes at a cost when our personal information is at risk. And shopping is personal. While AI may be used to research, ...

The Ohio House passed a bill to add chip technology to EBT cards to combat fraud. Over $17 million in SNAP benefits were stolen from thousands of Ohio households between June 2023 and December 2024.

We have updated our Privacy Policy. Please review to learn more. By continuing to use our services, you agree to these updates. By Matt White Published Jun 10, 2026 2 ...

Several California races remain uncalled as millions of ballots still need to be counted. All regular occurrences — and all fodder for President Trump's claims it's a sign of election fraud. The LA ...

A quick-thinking Dollar Tree store manager prevented an older customer from losing $1,000 to a phone fraudster. The scammer promised the victim a new truck if he purchased a pair of $500 store gift ...

Whereas identity theft once appeared to be a single event related to a stolen credit card number, fraudulent charge, or compromised financial account, fraud victims increasingly are reporting multiple ...

Abstract: In current times, Credit card fraud faces a significant issue to banking systems, need accurate and real-time detection of both relational fraud patterns and individual anomalous ...

Abstract: Credit card fraud is an economic problem that requires efficient detection. We addressed this challenge using a publicly available, highly imbalanced dataset with features anonymized via ...