The author of the article is Alexander Kuznetsov, PhD in technical sciences, holds CISM (Certified Information Security Manager) and CISSP (Certified Information Systems Security Professional) certificates. GeekBrains teacher.
Today, artificial intelligence has affected almost all areas of human activity, and cybersecurity is no exception. A striking example of the search for synergy at the intersection of these two areas is the two-year AI Cyber Challenge competition launched in 2023 , the goal of which is to create next-generation cyber defense systems.
AI Challenges in Cybersecurity
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 japan whatsapp number data detection by pattern recognition, and anomaly detection was us 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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Currently, the most relevant applied tasks of using artificial intelligence include. Combating cz lists fraud (Anti-fraud), managing and delimiting access. Rights to various resources, especially remote access.
