Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Are you aware that your API gateway, a vital component of modern software architecture, is also one of the most vulnerable points in a network? Shockingly, a 2022 survey by Statista revealed that most ...

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...

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 ...

Prelert, a leading provider of machine learning anomaly detection, and Blue Coat Systems, Inc., a market leader in enterprise security, announced a partnership to integrate Prelert’s machine learning ...

Cloud security company Lacework Inc. today announced an expansion of its partnership with Amazon Web Services Inc. to offer customers improved anomaly detection through composite alerts linked with ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...