AI and Zero Trust have a symbiotic relationship where each enhances the other. Zero Trust provides a secure environment that is essential for AI to operate effectively, while AI helps to evolve Zero Trust by automating security processes and providing insights. This partnership is crucial for protecting data and applications in today's dynamic digital landscape.

AI amplifies the value and risks associated with data. As AI models rely on high-quality data for training, the importance of protecting proprietary data increases. Additionally, AI can expose sensitive information if data classification and governance are not properly managed, making it essential for organizations to prioritize data security to mitigate these risks.

The shared responsibility model for AI security involves a partnership between organizations and their AI providers. Depending on the deployment type—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS)—the responsibilities for securing AI applications vary. Organizations must manage their own data and applications while leveraging the security controls provided by their AI partners.