Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...

Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...

TOKYO, Feb 18, 2022 - (JCN Newswire) - - NEC Corporation (TSE: 6701) announced today that it will provide Suntory Beer, Inc. with NEC Advanced Analytics-Invariant Analysis, an AI-based facility ...

File management software maker Peer Software plans to launch Linux file server compatibility this summer, along with enhanced artificial intelligence/machine learning (AI/ML)-based file access anomaly ...

The IoT market is shifting focus toward integrated device management within PaaS and SaaS platforms. The key opportunities lie in fully automated systems for device detection, provisioning, and ...

Ondas Holdings Inc. (Nasdaq:ONDS), a leading provider of private wireless data, drone and automated data solutions through its wholly owned subsidiaries, Ondas Networks Inc. and American Robotics, Inc ...

Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...

This column is available in a weekly newsletter called IT Best Practices. Click here to subscribe. In August 2015, American Airlines mistakenly sold plane tickets at discounts of up to 90% due to a ...

Almost two months after a ransomware attack disrupted City of Dallas online services, council members voted to approve a multi-million-dollar contract for upgraded cybersecurity software. Council ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...