Mastercard is developing a generative AI model using anonymised transaction data for fraud detection, payment insights and cybersecurity.

This year's gongs went to projects including AI fraud detection, a marine-debris initiative, and a DSS geospatial tool for grants allocation.

Overview:Machine Learning libraries like PyTorch, TensorFlow, and JAX help developers build, train, and deploy AI models efficiently.PyTorch is widely used in A ...

Novobanco has deployed Feedzai’s artificial intelligence platform as part of a multi-year effort to modernize fraud ...

TrafficGuard, a platform in AI-powered digital ad verification and invalid traffic (IVT) prevention, has appointed Scott ...

PhaseZero.ai, a leading provider of AI-native, composable commerce solutions, today announced that JEGS has launched a new enterp ...

ancora launches ancoraFlow™, an end-to-end AP automation platform that streamlines invoice routing, approvals, matching, fraud detection, and ERP integration.

The global payments ecosystem is undergoing a fundamental transformation. For decades, transaction security relied on static rules and reactive fraud detection. Today, artificial intelligence is ...

Deepfake and continuous identity protection programs must therefore be framed not as experimental controls, but as ROI-driven investments.