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(Which system is best for detecting unauthorized logins and adapting to new threats?)
Correct Answer: D
Machine learning-driven intrusion detection systems (IDS) are best suited for detecting unauthorized logins and adapting to emerging threats. AI+ Network security documentation highlights ML-driven IDS as systems that continuously learn from historical and real-time data to identify abnormal behavior. Unlike static firewalls, which rely on predefined rules, ML-based IDS can detect novel attack patterns, brute- force attempts, and compromised credentials. They adapt over time, improving detection accuracy and reducing false positives. Load balancers are unrelated to security monitoring, and reactive AI responds after incidents rather than proactively detecting them. AI+ Network materials consistently identify machine learning-driven IDS as a core component of modern, adaptive cybersecurity architectures.
