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Which AI technique is used for detecting anomalies in network traffic for cybersecurity?
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- All of these
Answer: All of these
Anomaly detection uses: Supervised Learning (trained on labeled attacks), Unsupervised Learning (clustering normal vs abnormal patterns), and Reinforcement Learning (adaptive response to threats). Combined approaches improve detection of zero-day attacks and reduce false positives in SIEM systems.