Emerging Techniques and Technologies for Cybersecurity in the Age of Artificial Intelligence and Machine Learning

Abstract

The rise of Artificial Intelligence (AI) and Machine Learning (ML) has ushered in a transformative era for cybersecurity, marked by the development of advanced threat detection and prevention techniques. Emerging technologies leverage AI and ML to enhance intrusion detection, automate threat analysis, and improve response times. Key strategies include anomaly-based threat detection, predictive analytics, and adaptive security frameworks. However, challenges such as adversarial attacks, data privacy, and ethical considerations necessitate a balanced approach. This paper explores the evolving landscape of cybersecurity in the AI and ML age, highlighting pre-2020 advancements and their implications for future innovation.