The AI-driven fraud analytics framework operates across multiple areas to identify suspicious patterns in real time.

Key opportunities in AI asset management include adoption of AI-driven platforms, demand for real-time asset visibility, integration with blockchain, and sophisticated fraud detection solutions.

Financial institutions have invested billions of dollars in technologies that detect suspicious transactions, sanctions ...

A fake Booking.com phishing email offers a $500 travel credit using your real name, a tight deadline and a dangerous "Redeem ...

Blockchain forensics tools have recovered an estimated $34 billion and are used by 45+ regulators as detection has genuinely improved. Yet 2025 crypto scam losses hit roughly $17 billion, with ...

Retailers are implementing AI through software companies like Happy Returns and Narvar to detect return fraud and issue ...

Learn how websites detect VPNs through IP reputation, DNS leaks, WebRTC, and browser fingerprints—and seven practical ways to reduce tracking.

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Company Adds 39 New Global Patents to Enrich New Product Innovation and Deepen Leadership in Explainable AI ...

DataVisor, the AI-native real-time decisioning platform for fraud and financial crime prevention, today announced that its customer, NASA Federal Credit Union (NASA FCU), won the Celent Model Risk ...