Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...

Violations of security policies within a computer or network are symbolic of the need for robust intrusion detection. From attackers accessing systems from the internet or authorized users conducting ...

There's plenty of buzz around how AI can make self-healing networks a reality -- but how close are we to that, really?

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...

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 ...

TNO’s advanced detection, threat management, and orchestration expertise ensures that critical IT and OT have sufficient ...

Many education institutions have a troubling gap in AI security: AI systems affecting students, including minors, deployed ...