AI and Machine Learning: Transforming the Landscape of Cybersecurity

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the cybersecurity landscape by enabling sophisticated threat detection, rapid response, and proactive risk mitigation. Traditional cybersecurity measures often fail to address the complexity and scale of modern cyber threats. AI and ML provide dynamic, adaptive, and scalable solutions to counteract these challenges. This paper explores the applications of AI and ML in cybersecurity, emphasizing their role in anomaly detection, automated threat response, and predictive risk analysis. Using real-world case studies and quantitative data, this study highlights the effectiveness of these technologies while addressing challenges such as algorithmic bias, adversarial threats, and implementation barriers. By examining current advancements and future trends, the paper underscores the transformative potential of AI and ML in securing digital ecosystems and fostering trust in an increasingly interconnected world.