Enhancing Cybersecurity with Artificial Intelligence: An Overview of Techniques and Applications

Muqorobin Muqorobin, Kok Swee Sim

Abstract


As cybersecurity threats continue to evolve in complexity and scale, organizations are increasingly turning to Artificial Intelligence (AI) to enhance their security systems. Traditional methods often fall short in detecting and responding to sophisticated cyber-attacks. This paper explores the integration of AI into cybersecurity practices, focusing on key AI techniques such as Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). The paper examines how AI enhances the ability to predict, detect, and mitigate security threats, improving response times and decision-making processes. Case studies from industries such as finance, healthcare, and government are discussed, highlighting AI's role in preventing data breaches, identifying vulnerabilities, and protecting sensitive information. The study concludes by outlining challenges in AI adoption for cybersecurity and offering recommendations for future advancements in the field.

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