Asian Banking & Finance on MSN

2 in 5 APAC finance firms lag in AI or machine learning

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

AI-driven fraud makes “proof” more important than “documents”

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, ...
Biometric Update

AI fraud pushing pace on need for advanced deepfake detection tools

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

Minnesota Uses Artificial Intelligence to Fight AI Fraud

AI has been behind some of the social services abuse uncovered in the state. Officials are using machine learning to sift through thousands of provider claims to uncover crimes.
IEEE

Insurance Claim Fraud Detection Using Machine Learning

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 ...
IEEE

Fraud Detection in Financial Transactions Using Machine Learning Models

Abstract: Fraud in financial transactions is one of the fast growing problems. Digital payments are increasing in number and complexity. This makes it important to find ways to detect fraud early and ...
Scientific Research Publishing

Ashtiani, M.N. and Raahemi, B. (2022) Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review. IEEE Access ...

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...