Abstract: Machine Learning (ML) algorithms are robust in addressing complex challenges, such as detecting financial fraud in real-world scenarios. This research highlights the significance of ML ...

Novobanco has deployed Feedzai’s artificial intelligence platform as part of a multi-year effort to modernize fraud ...

While the exact impact of AI on the job market remains hazy at best, ongoing fears that an AI-triggered job apocalypse is ...

One of the most immediate risks is malicious exploitation. Criminal networks are already experimenting with AI tools capable of automating phishing campaigns, generating deepfake identities, and ...

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

At HIMSS 2026, Veratad will also highlight its growing portfolio of AI-enhanced services, including AI-assisted document verification and authenticity analysis, intelligent workflow orchestration and ...

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.

Although AI has introduced a new threat in the world of payments fraud, it has also emerged as the analytical backbone of next-generation fraud mitigation systems.

AI-based on-chain oracles can provide real-time protection against exploitation as they can monitor transactions in real-time ...

The U.S. Department of Health and Human Services will use "advanced" AI tools to more quickly detect Medicare and Medicaid ...

scb-fraud-detection/ ├── 1_Exploratory_Data_Analysis_EDA.ipynb # Data exploration and visualization ├── 2_Model_Training.ipynb # Model training and evaluation ├── requirements.txt # Python ...