Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...

If you run a quick web search on "machine learning use cases," you will find pages and pages of links to documents describing machine learning (ML) algorithms to detect or predict some kind of event ...

Violations of security policies within a computer or network are symbolic of the need for robust intrusion detection. From attackers accessing systems from the internet or authorized users conducting ...

Graylog is consolidating SIEM and UEBA (anomaly detection and user entity behavior analytics) in its new security package for streamlined detection and elimination of enterprise security threats .

Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna, and ...

Quick Summary Looking to spot network threats before they escalate into costly security incidents? This guide breaks down the top seven Network Intrusion Detection (NID) systems built for enterprise ...