How can AI detect malware variants and polymorphic malware that adapt to evade detection?
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AI can detect malware variants and polymorphic malware by using advanced machine learning algorithms that can analyze large amounts of data to identify patterns and anomalies associated with malicious behavior. AI can learn from historical data to recognize new variants of malware and adapt to changes in their behavior. Additionally, AI can employ techniques such as anomaly detection, behavioral analysis, and feature extraction to uncover subtle differences that may indicate the presence of unknown malware strains. This proactive approach enables AI to stay ahead of cyber threats and effectively detect evolving forms of malware.