AI Challenges in Cybersecurity

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If we consider artificial intelligence as a set of technological solutions that allow us to imitate human cognitive functions, including software that uses machine learning methods, then we can conditionally identify two key areas of its application in cybersecurity:

pattern recognition
detection of anomalies.
Probably one of the earliest applied tasks of machine learning in cybersecurity was spam detection by pattern recognition, and anomaly detection was used to detect intrusions in network traffic. Well, methods for solving problems of detecting and analyzing malware successfully combine pattern recognition and anomaly detection.

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