Generative AI: Strategies for Risk Management and Secure Implementations

In the rapidly evolving world of Generative AI, security and governance are critical to ensuring safe and responsible use. This book offers a comprehensive exploration of the security challenges, risks, and solutions specific to Generative AI models. From understanding the fundamentals of Generative AI and implementing secure architectures, to addressing key threats such as data leakage, model poisoning, and prompt injection attacks, this book provides practical strategies to safeguard AI systems. With a dedicated focus on AI governance and the deployment of robust security controls, it guides organizations in balancing innovation with compliance and risk management. It also dives into issues like regulatory requirements, inherent bias, and model theft, offering insights into protecting both the technology and its users from vulnerabilities in the AI supply chain.Read more