Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

RIZAL Commercial Banking Corporation (RCBC) has strengthened its fraud detection and cyber risk management systems as ...

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

Security teams face an impossible choice: set thresholds too sensitive and drown in false positives, or set them too loose and miss real attacks. Traditional monitoring systems force this trade-off ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

Overview: Data mining tools in 2026 focus on usability, scale, and real business impact.Visual and cloud-based platforms are ...

What Are Non-Human Identities in Cybersecurity? Non-Human Identities (NHIs) might sound like a concept from a science fiction novel, but they are a crucial component. These unique “machine identities” ...