Applying Machine Learning Models to Ransomware Recovery An organization’s backup data is rich with information. This includes the content itself along with metadata such as path, size, ACL ...

A real strength of machine learning is that it enables humans to predict and proactively address potential dangers instead of dealing with them when the damage has occurred. As we’ve seen, machine ...

Video anomaly detection has always been a hot topic and has attracted increasing attention. Many of the existing methods for video anomaly detection depend on processing the entire video rather ...

Bespoke fraud ML models are powered by algorithms that ... we have an ace up our sleeves in the form of artificial intelligence (AI) and machine learning ... This is where anomaly detection, ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Although they are spurring us to fundamentally rethink anomaly detection, LLM-based techniques have yet to perform as well as the state-of-the-art deep learning models, or (for 7 datasets) the ...

The bibliometric analysis identified four major thematic clusters: machine learning for fraud detection, artificial ...