Intrusion Detection — Microsoft Azure AI Fundamentals (AI-900) Practice Questions

Intrusion detection is a security-oriented AI use case where machine learning analyzes network traffic or system logs to identify patterns consistent with unauthorized access or malicious activity. On the AI-900 exam, it is used to illustrate anomaly detection and classification in a cybersecurity context, helping candidates understand how AI can surface threats that rules-based systems might miss. Understanding this use case also ties into responsible AI considerations around privacy and the impact of missed detections or false alarms.

Free questions on intrusion detection