8 best practices for building secure and reliable AI agents

Merge's platform offers tools and guidelines for building secure and efficient AI agents by providing integration capabilities, observability, and security features. It emphasizes defining clear goals for AI agents, implementing robust authentication flows, and establishing data loss prevention rules to protect sensitive information. The platform advocates for comprehensive testing of Model Context Protocol (MCP) connectors and tools, as well as the importance of role-based access controls and audit trails to manage permissions and oversee agent activities. Merge also suggests outsourcing non-core development tasks to enhance efficiency and focus on core functionalities. The Merge Agent Handler facilitates these processes, offering predefined roles, customizable rules and alerts, and comprehensive logging and audit capabilities to ensure seamless and secure agent operations.