Machine Learning for Anomaly Detection**

• Description: Uses machine learning algorithms to detect unusual asset behavior, such as irregular usage patterns, potential theft, or performance degradation, and flags them for review.
• Benefits: Proactively identifies risks, reduces downtime, and improves asset security.
• Example: Detecting a server with unusually high CPU usage that could indicate a cyberattack or hardware issue.