AI in Cybersecurity: Balancing Innovation and Misconceptions

This chapter explores the integration of AI models in cybersecurity, highlighting their role in incident investigations and problem-solving. It critiques the misuse of AI terminology in marketing while emphasizing the distinction between traditional programming and adaptive machine learning systems. The chapter also covers the importance of reliable training data, proper feedback mechanisms, and the application of advanced models like Retrieval-Augmented Generation to enhance cybersecurity practices.