Financial institutions have trouble pinning down a common definition of AI and figuring out which of their processes incorporate the technology. That can lead to trouble with regulators.

Generative AI is exciting, but has limited fraud-busting utility. Instead of rushing to implement gen AI-powered anti-fraud initiatives, banks should focus on strengthening their existing security measures.

Banks weigh in on the fallout from CrowdStrike's outage, Patelco Credit Union navigates an ongoing legal battle over ransomware attack, JPMorgan Chase's tech usage for fighting fraud and more.

Witnesses from companies across financial services and housing, including a credit union and a core services provider, attested to the value of AI in fighting fraud and boosting customer service at a hearing in the House of Representatives.

FactSet, Brightwave and Bloomberg are among those offering generative AI models that do research legwork. But Wall Street firms have lately been taking a harder look at the cost and return of generative AI.

The Consumer Protections for Artificial Intelligence bill passed in May seeks to enhance consumer protections from the potential biases in AI systems through increased transparency and accountability from developers.

The bank is working with Adyen and Stripe to improve the transaction information that feeds AI-powered payments crime fighting. Can it convince other firms to join?

In June's roundup of top tech news: U.S. Bank partnered with Greenlight to provide financial education resources, ransomware group LockBit released data belonging to Evolve Bank & Trust, banks consider the merits of open-source and closed-source generative AI and more.