Latest cybersecurity reporting from selected sources.

XML-Based Messaging Tech Extends Fraud Detection Into Wider Bank Use CasesACI's signals network intelligence harnesses neural networks and federated machine learning to spot fraud in real time without banks sharing data. Beyond fraud detection, its insights can drive business growth from other business units, and ACI aims to accelerate adoption by making it open source.

Machine Learning, Generative AI Bolster Continuous User AuthenticationFinancial institutions can use AI-fueled behavioral biometrics for real-time identity assurance. By continuously profiling how users interact with devices, firms can shift from one-time authentication to real-time identity assurance, turning every click, pause and keystroke into a frontline defense.

Experts Weigh the Advantages and Risks of Generative Adversarial NetworksWith traditional rule-based fraud detection systems and even conventional machine learning models struggling to identify these highly deceptive fraud patterns, financial institutions are exploring generative adversarial networks to enhance fraud detection.

Featurespace's AI Expertise Will Enhance Visa's Fraud, Risk and Payments TechnologyVisa has signed a definitive agreement to acquire AI-driven fraud prevention leader Featurespace. This acquisition will reinforce Visa's fraud detection capabilities, integrating advanced machine learning technology to strengthen financial crime prevention and protect global transactions.

A do-it-yourself machine-learning system helped a French bank detect three types of exfiltration attacks missed by current rules-based systems, attendees will learn at Black Hat Europe.

Silent Eight announced an extension to its existing partnership with HSBC to tackle financial crime.

Financial services firms need to learn how — and when — to put machine learning to use.