Now AI Can Use Your Credit Card. Here's How to Be Careful.

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

EBT cards to get chips to prevent theft under bill OK'd by Ohio House

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.
Digital Transactions

Identity Crimes Increasingly Result in Multiple Fraud Events

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 ...
The New York Times

Trump Previews Fall Strategy With Baseless Claims of California Vote Fraud

The president is using the slow count of mail ballots in California to renew his effort to cast doubt on election outcomes he doesn’t like, despite a lack of evidence of any widespread fraud. By ...
NPR

Kalshi and Polymarket crack down on paid influencers claiming election fraud

As vote tallies in the Los Angeles mayoral election trickled in slowly over the last week, unsubstantiated claims exploded on X that a fraudulent plot was underway to deprive the MAGA-backed former ...
NerdWallet

Benefits of Delta Air Lines Credit Cards

Delta Air Lines offers four credit cards for consumers, with annual fees ranging from $0 to $650. Issued by American Express, the cards come with a host of benefits worth considering if you’re a ...
IEEE

Hybrid Rule-Based and Deep Learning System using GNNs to Detect Credit Card Fraud

Abstract: Financial fraud, particularly credit card fraud, poses a growing threat to global financial systems, causing billions in annual losses. As digital transactions rise, fraudsters evolve ...
IEEE

Enhanced Credit Card Fraud Detection Using Feature Engineering, Optimized XGBoost, and SHAP Explainability

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 ...