A successful example of machine learning-based anomaly detection for predictive maintenance comes from San Diego Gas & Electric. This public utility company faced a widespread energy leakage problem.

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 ...

Sarah Alnegheimish's research interests reside at the intersection of machine learning and systems engineering. Her objective: to make machine ...

User and entity behavior analytics can become a foundational tool for keeping pace with cybersecurity threats in the age of ...

For example, Facebook uses AI models to detect ... I believe that an AI-based anomaly detection system can’t entirely replace the insights and expertise of human specialists, even with its ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

Examples here could be user login location ... 6) What are the advantages of an anomaly intrusion detection system? An anomaly detection system can detect previously unknown attacks based on auditing ...