Enterprises can increase their protection by embedding security directly into applications at the build stage: this involves ...

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 ...

Anomaly detection algorithms are leading the charge to take organizations away from the limitations of manually monitoring datasets. In its place is a wave of solutions that can not only make use of ...

The number of real-life, high-value use cases for AI anomaly detection have grown a lot over the years and are expected to continue to rise. Advances in artificial intelligence (AI) are ...

Currently, there are have no specific regulations tailored to AI-powered business tools. An anomaly detection solution will navigate through, process and store information on detected anomalies.

Machine learning can prove ideal for anomaly detection throughout the company network. Here are three key scenarios where this can be put to good use “Prevention is the daughter of intelligence,” said ...

“Anomaly detection plays an important part in early assessment of possible threats targeting the computer-based systems at nuclear and radiological facilities,” said Scott Purvis, Head of the ...