Investment

Despite advancements in AI for transaction monitoring, financial institutions share little in the way of fraud data, undermining efforts to combat crimes including check fraud.

Synovus Financial demonstrated at an industry conference how it is using Microsoft's Copilot to help its staff address customers' concerns.

The report seeks to help banks "disrupt rapidly evolving AI-driven fraud," according to Treasury's Nellie Liang. The report found banks have difficulties accounting for AI risks.

Specialized large language models should be harnessed to help financial institutions identify and halt fraudulent activity. The best model would involve regulator-approved pooling of anonymized customer data.

Criminals who buy and sell consumer data on the dark web are perpetrating increasingly complex credit and debit card fraud schemes, according to the card network's latest threats report.

A recent survey showed a majority of banks use generative AI, mainly for tasks like writing emails and detecting fraud, but few say they have built customer-facing products with it.

In a simulation exercise hosted by the Global Resilience Federation on Tuesday, banks and credit unions tested their ability to withstand an industrywide wiperware attack.

Banks are proceeding with caution as a new generation of AI tools arises.

Lack of understanding remains a key hurdle for adopting traditional and generative artificial intelligence-powered tools, but banks and credit unions are still eager to use AI, according to data from Arizent.

Investing in Main Street Act has passed the House three times with overwhelming majorities but has failed to gain traction in the Senate. Backers, including banks that invest in the funds, hope to flip the script with a third version.