Apply fine-grained access control with Bedrock AgentCore Gateway interceptors

As enterprises rapidly adopt AI agents to automate workflows and enhance productivity, they face a critical scaling challenge: managing secure access to thousands of tools across their organization. Modern AI deployments no longer involve a handful of agents calling a few APIs—instead, enterprises are building unified AI platforms where hundreds of agents, consumer AI applications, and automated workflows need to access thousands of Model Context Protocol (MCP) tools spanning different teams, organizations, and business units.

This increase in scale creates a fundamental security and governance problem: How do you make sure each calling principal—whether it’s an AI agent, user, or application—only accesses the tools they’re authorized to use? How do you dynamically filter tool availability based on user identity, agent context, the channel through which access is requested, and constantly evolving permissions? How do you protect sensitive data as it flows through multi-hop workflows from ...