Combating check fraud: Still a major challenge in the digital age
Innovations in account registration have given fraudsters just as much convenience as customers. Although check use is not as common ...
Tag: Machine learning
The challenge of financial fraud detection two years into a pandemic
The most sophisticated and user-friendly method for blocking credential stuffing attacks is to use behavior-based detection and blocking.
How machine learning can unlock digital marketing success for banks
Analytics tools and ad platforms create more data than a human can possibly analyze and act on. Machine learning tools ...
Alternative Data: Will the Rewards Outweigh the Risks?
Unstructured data, in its purest form, must be cleaned, prepared and analyzed before it adds value or provides insights
A Moving Target: Pandemic Impacts on Anti-Money Laundering Compliance
Banks focusing on innovation in their processes, people and technology will be well placed to implement effective BSA/AML compliance programs.
Combating the Six Types of Financial Crime That Spiked During the Pandemic
Among the ways banks can respond to today’s quickly changing criminal activity is by incorporating flexible fraud-detection controls that allow ...
Four Best Practices for Advancing Bank Cybersecurity Programs for the Cloud Age
Effective cybersecurity practice means new focuses and a new culture for a digital age.
ABA: New Regulations Not Needed to Address Banks’ Use of AI
As banks move to responsibly integrate artificial intelligence and machine learning capabilities into their business processes, the American Bankers Association ...
Podcast: The Fintech Policy Lightning Round
On the latest episode of the ABA Banking Journal Podcast, Rob Morgan and Matthew Daigler join to provide quick-fire updates ...
Agencies Seek Information on Banks’ Use of AI, Machine Learning
Recognizing the benefits and increasing use of artificial intelligence and machine learning capabilities in financial services, the federal banking agencies ...
