Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding fraudulent login events and fake news items. Take a look at the demo ...

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 ...

Python has become a go-to language for building practical cybersecurity tools, from network scanners to AI-powered threat detection. Its simplicity, vast library ecosystem, and adaptability make it ...

Python has become a go-to language for cybersecurity pros thanks to its simplicity, vast library ecosystem, and ability to ...

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 ...