Unusual data readings, or anomalies, can signal issues like equipment malfunction, faulty components or deteriorating sensors that disrupt the expected operational flow. AI-based anomaly detection ...

The Data Science Lab Data Anomaly Detection Using a Neural Autoencoder with C# Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that ...

Get Code Download If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...

“Anomaly detection is the holy grail of cyber detection where, if you do it right, you don’t need to know a priori the bad thing that you’re looking for,” Bruce Potter, CEO and founder of ...

Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company's xLake ...

Incident Response, Anomaly Detection Rank High on Planned ICS Security Spending The "SANS 2024 State of ICS/OT Cybersecurity" report suggests organizations are going to shift spending from ...