Fraud detection

Many banks rely on the location data they get from carriers through data aggregators to spot fraudulent transactions. With telecom companies shutting that source down, banks are worried it could significantly hurt their capacity to detect fraud.

Many U.S. banks, especially in Florida, are struggling to comply with U.S. sanctions against the Maduro regime. Some argue artificial intelligence can make it easier to distinguish between legitimate payments and illicit transactions.

MoneyGram is investing more time and technology in helping law enforcement agencies spot the scammers moving money on its network.

Fraud attacks against online food and beverage businesses in the U.S. increased by nearly 80 percent in the past year, as fraudsters have decided that dining establishments are the perfect places to test stolen card credentials.

Reports of improper charges by perpetrators who know the victim soared last year. Issuers and card networks are failing to tighten security, clearly label transactions and police chargebacks, critics say.

Given the size of the deal — which includes about $9 billion of Worldpay’s debt on top of a $34 billion bid — the pressure’s on to build a global powerhouse that can counter other major fintech mergers announced in the past weeks. FIS must also emerge as a nimble rival to the startups that threaten the old order.

Mastercard Inc. is concerned that India’s strict data localization rules could compromise its ability to detect frauds and money laundering in the domestic payments system.

Municipal IDs help marginalized groups, such as undocumented immigrants, open checking accounts and become credit union members but concerns over regulatory compliance linger.