Section I. Why AI changes cybersecurity. Chapter 1: How AI is disrupting the traditional pillars of cybersecurity. Chapter 2: The Future of Data Security: Safeguarding Sensitive AI Information. Section II. Why data is now the Center of AI security. Chapter 3: Trends and Impact of New Data Security Approaches for AI. Section III. How to protect data in hybrid cloud environments. Chapter 4: How Zero Trust Architecture is enhancing Data Privacy and Security. Section IV. How CASB, SASE, encryption, and key management fit together. Chapter 5: AI platforms on Hybrid Cloud, CASB, and SASE. Chapter 6: How AI is impacting Data access in Hybrid Cloud, CASB, and SASE. Section V. How emerging risks like deepfakes, agentic AI, and quantum change trust. Chapter 7: AI Agents. Chapter 8: Generative AI. Chapter 9: Deepfake and AI. Chapter 10: Preparing AI for Quantum Computing. Section VI. What leaders should do now. Chapter 11: Evaluating AI Privacy, Data Security, and Risks. Chapter 12: Governance and Trust of AI. Chapter 13: Guiding Principles for developing AI systems. Section VII. Appendix. Appendix A: Summary of this book. Appendix B: Summary of my 3 books about Controlling Privacy and The Use of Data Assets. Appendix C: Positioning some leading AI and Data Security vendors. Appendix D: The history of AI. Appendix E: AI TRiSM - A Model for AI trust, risk, and security management. Appendix F: How Decentralized Applications Can Improve Data Privacy and Security. Index.