ACAI Chapter 17 Outlines Security Architecture for AI Agents and Multi-Tenant Systems

Chapter 17 of the ACAI series details how security should be embedded into AI system architecture from the outset, rather than added as an afterthought. The chapter covers core concepts including authentication, authorization, role-based access control (RBAC), attribute-based access control (ABAC), and session management as essential layers for protecting AI agents. It emphasizes that every sensitive operation must pass through defined security controls, including a policy engine and audit log, to prevent threats like unauthorized access, prompt injection, and credential exposure. The chapter also addresses multi-tenant environments, stressing that strict data isolation between organizations must be enforced at both the application and database layers. Additional guidance covers password hashing, multi-factor authentication, token security, and the principle of minimizing exposure of sensitive information across logs and model outputs.