A sophisticated Python-based malware deployment uncovered during a fraud investigation has revealed a layered attack involving obfuscation, disposable infrastructure and commercial offensive tools.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

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 ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...

Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with agentic AI. In 2023, the U.S. spent $4.9 trillion on healthcare, almost one ...

End-to-end Credit Card Fraud Detection project using Python, Scikit-learn, and Streamlit — includes data ingestion, feature engineering, model training, scoring, monitoring, and an interactive ...

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fraud-detection-project/ ├── README.md ├── requirements.txt ├── config.yaml ├── Makefile ├── data/ │ ├── raw/ # input CSV (synthetic credit card transactions) │ └── processed/ # feature-ready datasets ...

In today’s rapidly evolving digital landscape, fraud and financial crime have become increasingly complex and create pervasive issues for organizations of all sizes and specialties. As a result, ...