Cybercriminals continue to disrupt current defense mechanisms through new methods by exploiting vulnerabilities, especially in the overlapping areas of machine and human interactions. Cybersecurity ...

Introduction In the rapidly evolving cyber-threat landscape, traditional signature-based defences are no longer sufficient. Threat actors increasingly use stealth, lateral movement, encrypted channels ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...

Identifying anomalies in the operations of computer systems that control critical safety and security functions calls for extensive expertise, and the actions required need to be tested, analysed and ...

The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well-suited ...