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

As Indian businesses expand into global markets, cross-border payments are becoming both a growth opportunity and a potential ...

Telecom companies should invest in sophisticated anti-fraud tools that employ machine learning and Artificial Intelligence (AI) to enhance detection and response times while conducting regular audits ...

Survey shows that 61.2% now use AI or machine learning in live settings. Generative artificial intelligence (AI) is moving ...

Storing fewer raw PII files means less confidentiality exposure and a reduced control burden (8). If a verifier relies on a cryptographically signed proof rather than a database of passport JPEGs, ...

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

Launching a digital wallet today involves far more than enabling payments. As the digital wallet trends 2026 show high adoption of digital wallets, so do the challenges like increasingly sophisticated ...

Background: Fraud is a type of financial crime risk that poses threats to customers and banks. There're multiple typologies within fraud such as authorised and unauthorised digital, payment, credit ...

Abstract: Auto insurance claim fraud has become increasingly prevalent in recent years posing a significant challenge for the auto insurance industry. To address this issue there is a growing need for ...