Artificial Intelligence for Enhancing Cybersecurity

Abstract

The rapid growth of digital systems and networked infrastructures has significantly increased the complexity and frequency of cyber threats. Cybersecurity is a fast-growing field of IT with reducing organizations' risk of hacks or data. The fastest increases in demand for cybersecurity workers are in industries managing increasing volumes of consumer data such as health care, finance, and retail. The internet has revolutionized the way we communicate and conduct business. However, this revolution has come with a cost the emergence of cyber threats that can compromise our security and privacy. In this paper examines the application of AI techniques, including machine learning, deep learning, and behavioral analytics, in cyber security systems. It explores how AI can be used for current state of cyber security, discussing the threats posed by malicious actors, the technologies used to protect against them, and best practices for individuals and organizations to ensure their security. Furthermore, this paper explores the need for organizations and governments to work together to increase cyber security in the digital age. The paper also discusses the challenges associated with AI-driven cybersecurity, such as data quality, model interpretability, adversarial attacks, and ethical concerns.