Abstract
This article explores the use of artificial intelligence (AI) technologies for detecting and preventing cyber threats. With the advancement of the digital age, the number and complexity of cyberattacks are increasing. Traditional methods often fall short in countering these threats, highlighting the need for modern approaches. AI technologies enable cybersecurity to reach a new level by rapidly processing large volumes of data, detecting anomalies, and proactively responding to attacks. The main objective of the article is to evaluate the effectiveness of AI technologies and propose ways to integrate them into modern cybersecurity systems. The study utilized machine learning algorithms and data processing methods to analyze their accuracy and speed in detecting attacks. The findings demonstrated the superior efficiency of AI tools compared to traditional methods. This work contributes to research in the field of cybersecurity and aims to unlock new opportunities for protecting informational infrastructure. Additionally, the article discusses potential challenges in implementing these methods and solutions to address them.