Technical Terms Graph-based anomaly detection: A technique that employs graph representations to capture the relationships between log entries, facilitating the identification of abnormal patterns.

Stream-processing frameworks, such as Apache Kafka with graph processing libraries, can provide real-time updates and anomaly detection. IDENTIFYING VULNERABILITIES AND MISCONFIGURATIONS ...

Instead, his method involves the formulation of graph-based anomaly detection techniques that will "easily show the complex relationship between data." ...

Although predicated on advanced math concepts, anomaly detection, or as the NIST Cybersecurity Framework 2.0 calls it, “adverse event analysis,” has over the past two decades been incorporated ...

In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly detection systems. These systems automatically identify defects in ...

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 .

Nazarbayev University Develops Innovative Solutions to Strengthen Internet of Things (IoT) Security Using Machine Learning ...

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel Johnson As machine complexity has increased, traditional anomaly detction ...

Industrial processes and manufacturing systems depend on consistency and accuracy. Unusual data readings, or anomalies, can signal issues like equipment malfunction, faulty components or deteriorating ...