Generative AI is revolutionizing industries, enabling machines to produce content, including text, images, and even music. However, its rapid adoption raises significant concerns about data security, model integrity, and potential misuse. Understanding and mitigating their risks is critical to ensuring secure and ethical use as these AI models become more integrated into everyday applications. This whitepaper delves into the key security challenges and best practices for securing generative AI systems. It offers in-depth insights into how organizations can safeguard their applications and maintain user trust.
#Security #Generative #Applications #Data #Model #Integrity
