Artificial Intelligence in Cybersecurity: Adaptive Approaches

With the rapid growth of cyber threats and digitalization of all walks of life, traditional methods of information security are becoming insufficient. This study offers a modern perspective on cybersecurity, focusing on the application of artificial intelligence (AI) and machine learning in attack detection and prevention systems. Models for traffic analysis, user behavior analysis, threat prediction techniques, and Zero Trust strategies are presented.

Autorentext

Artjom Dashevskij is an expert in cybersecurity and artificial intelligence. He is the author of scientific articles and methodologies on adaptive protection of information systems. He specializes in behavioral analytics, intelligent authentication and phishing detection.