Privacy in GenAI in Cybersecurity
Mohammad Rubyet Islam · 2024
This chapter dives into the critical aspect of privacy in generative artificial intelligence (GenAI) within cybersecurity. As artificial intelligence (AI) systems process vast amounts of sensitive data, the protection of personal information becomes paramount to prevent identity theft, fraud, and other malicious acts. This chapter explores the privacy challenges posed by GenAI, such as data leakage, reidentification, and deepfakes, and outlines best practices and techniques for privacy protection, including differential privacy, federated learning, and robust data governance. Through case studies and analysis of regulatory frameworks, the chapter emphasizes the necessity of transparency, accountability, and adherence to legal standards to safeguard individual privacy while leveraging GenAI for cybersecurity.