How can employees use AI agents to analyze contracts, price lists, or other business documents without having to think about data classification, anonymization, or security policies? How can organizations make sure sensitive information remains protected, and AI usage stays secure, compliant, and under control? Through a practical use case, this session will explore the architecture behind the secure use of generative AI and AI agents in enterprise environments. We will show how identity and access management, data classification and protection, automated anonymization and pseudonymization, protection against prompt injection and other AI-specific threats, as well as logging and security monitoring, can work together behind a simple user experience. We will look at technology approaches ranging from identity management, DLP, and data protection solutions to AI Privacy Gateways and dedicated AI Security tools, including their integration with SOC environments for continuous monitoring, incident response, and security testing of AI systems and agents. The session is vendor- and industry-independent and is aimed at CIOs, CISOs, IT and security architects, and professionals introducing generative AI and AI agents into their organizations. Participants will gain a practical overview of the key security building blocks needed to move from uncontrolled AI usage to a secure environment where users can work with AI easily. At the same time, the organization retains control over identities, data, risks, and security.