AI and machine learning have revolutionized cybersecurity by enhancing threat detection, improving accuracy, enabling automated responses, and scaling defenses. However, they also introduce risks such as adversarial attacks, bias, over-reliance on automation, complexity, and data privacy concerns. This analysis delves into the potential risks and benefits of integrating AI and machine learning in cybersecurity practices.