This chapter considers the multiple uses of AI in cybersecurity, and more specifically the use of machine learning (ML) algorithms, the analysis of anomalies, and threat intelligence to counteract new generations of cyber threats. ArtificialIntelligence (AI) refers to the application of intelligent algorithms and machine learning techniques to enhance the detection, prevention, and response to cyber threats. AI empowers cybersecurity systems to analyze vast amounts of data, identify patterns, and make informed decisions, at speeds and scales beyond human capabilities. The role of AI in bolstering security measures is ... Jul 20, 2025 · AI in cybersecurity involves applying artificialintelligence to help protect systems, networks, and data from threats. It’s designed to improve security by analyzing large volumes of information, detecting risks sooner, coordinating faster responses, and supporting more accurate decision-making. Jan 3, 2026 · This review brief will explore the recent trends in the use of AI for improving cybersecuritydefenses. It will selectively summarize the recent literature on important technology used in cybersecuritydefense, such as machine learning, deep learning, NLP, and behavioral analysis. Sep 26, 2025 · This chapter considers the multiple uses of AI in cybersecurity, and more specifically the use of machine learning (ML) algorithms, the analysis of anomalies, and threat intelligence to counteract new generations of cyber threats. The article aims to analyze the roleofartificialintelligenceincybersecurity, including in terms of threat identification and the formation of automated defense systems. Sep 1, 2023 · Artificialintelligence (AI) is a powerful technology that helps cybersecurity teams automate repetitive tasks, accelerate threat detection and response, and improve the accuracy of their actions to strengthen the security posture against various security issues and cyberattacks.
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