An end-to-end Machine Learning system for detecting UPI fraud, spam messages, and unauthorized login attempts — inspired by the security systems used in PhonePe, Google Pay, and Paytm.

Key opportunities in the AI fraud management market include leveraging advancements in machine learning and cloud technology for fraud prevention, capitalizing on the growth of digital payments and ...

Key market opportunities in explainable AI for banking include growing demand for compliance and regulatory trust, expanding ...

The Ministry of Land, Infrastructure and Transport has drawn up a plan to prevent fraudulent claims under the trucking fuel ...

Purdue researchers tested 24 deepfake detection systems and found commercial tools generally performed better as AI identity ...

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

CryptoGuard-Automata-Based-Cryptocurrency-Fraud-Detection-System CryptoGuard is an intelligent real-time cryptocurrency fraud detection system built on the theoretical foundation of Finite Automata.

Banks are boosting biometric authentication and AI fraud defenses as deepfakes, synthetic identities and account takeover ...

On July 6, the Ministry of Land, Infrastructure and Transport announced that the government will implement a comprehensive ...

Lloyds Banking Group (LSE:LLOY) plans to fill 300 AI focused roles as part of a broader expansion of artificial intelligence ...

AI-powered fraud rings are automating scams faster than retailers can detect or stop them.

The middle east fintech aims to accelerate onboarding and strengthen AML compliance with AI-powered identity verification.