”In the article, the authors discuss the challenges enterprises face as they adopt AI agents for workflow automation and productivity enhancement. With the increasing scale of AI deployments, organizations must manage secure access to thousands of tools while ensuring that each user, application, or agent only accesses authorized resources.\n\nTo address these security and governance issues, the article introduces gateway interceptors for the Amazon Bedrock AgentCore Gateway. This feature enables fine-grained access control, dynamic permission management, and schema translation, enhancing security across complex AI systems.\n\nKey highlights include:\n\n1. **Fine-Grained Access Control**: Organizations can deploy thousands of Model Context Protocol (MCP) tools through a unified gateway, ensuring secure access based on dynamic factors like user identity and agent context.\n\n2. **Schema Translation and Data Protection**: The need for mapping MCP request schemas to downstream API schemas allows organizations to protect sensitive data (such as personally identifiable information) from leakage during API calls.\n\n3. **Multi-Tenant Architectures**: Businesses offering agent or tool services must maintain tenant isolation while allowing secure access to tools, often needing to validate tenant and user IDs.\n\n4. **Dynamic Tool Filtering**: Effective filtering of available tools is required based on user permissions, enabling real-time, context-aware decisions without relying on cached data.\n\n5. **Identity Context Management**: The article contrasts \”impersonation\” with \”act-on-behalf\” approaches, the latter being more secure as it scopes tokens specifically for each action, limiting potential security vulnerabilities.\n\n6. **Observability**: The gateway interceptors enhance logging and monitoring capabilities, helping organizations track security decisions and system performance.\n\nThe article concludes that the integration of gateway interceptors within the AgentCore Gateway addresses vital security concerns, enabling enterprises to implement robust access controls while maintaining operational efficiency. It highlights that these features support a wide range of use cases, providing organizations with the necessary tools to balance discoverability and security in AI-driven environments. \n\nFor practical implementation, the article directs readers to sample code and documentation on how to utilize these gateway interceptors for various security patterns.