Govern AI agent tool access with Amazon Bedrock AgentCore Gateway | Amazon Web Services
In our conversations with customers over the past months, one pattern keeps recurring. Whether they work with coding agents, autonomous agents, or human-interactive ones, and regardless of workload maturity, we start with the same question: “Which AI agents have access to customer data, who granted it, and what would exposure look like if a credential leaked today?” If nobody in your organization can answer that in under a minute, this post is for you.
When AI agents connect to internal tools without centralized governance, organizations encounter access risks that are difficult to detect. Consider an infrastructure engineer opening a teammate’s laptop to debug a build. In the config folder sits a file named mcp.json containing a production database password in plain text, next to a comment that reads TODO: rotate this. The security team has no visibility into which AI agents are reaching internal tools, who granted the access, or...
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