How does AI monitor user access in decentralized systems to detect unauthorized activities?
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In decentralized systems, AI can monitor user access by employing techniques such as anomaly detection, behavior analysis, and pattern recognition. AI algorithms can analyze user activity logs, network traffic, and access patterns to identify deviations from normal behavior that may indicate unauthorized activities. Additionally, AI can use machine learning models to continuously learn and adapt to new threats, helping to enhance security measures in decentralized systems.