Artificial intelligence startup Autoscience Institute has launched with $14 million in seed funding to automate research into ...

Suspected digital fraud continues to impact businesses worldwide. In a recent TransUnion survey of 1,200 business leaders, respondents reported fraud losses totaling $534 billion. To help companies ...

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

Financial crime is a constantly shifting threat. Fraudsters operate with unprecedented speed, scale, and technological capability. Their sole intent is to exploit any gap left unprotected, the most ...

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 from trial projects to real-world use across the financial sector in ...

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, ...

The study, “Conditions of benefits and risks when algorithmic technology is implemented for public sector policing and fraud ...

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

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 ...