AI agent credentials: Four architectures compared

AI agent credential systems are evolving across several layers of the stack, with Google Managed Agents and NVIDIA OpenShell keeping secrets outside sandboxes through proxies and placeholder credentials, Rubrik Agent Identity issuing narrowly scoped tokens for individual tool calls, Microsoft’s Global Secure Access firewall inspecting remote MCP protocol traffic, and Opal Zero evaluating requests before delegating enforcement to existing gateways. These approaches address different risks, including credential theft, standing privilege, unapproved tools or servers, and permanent access grants, but each retains limitations such as overly broad credential scopes, gateway dependence, or incomplete coverage of local stdio-based MCP servers. The central distinction is that preventing an agent from exfiltrating a secret does not itself restrict what the agent can do with that secret, leaving prompt-injection and confused-deputy risks when broad credentials are accepted for allowlisted destinations. The analysis argues that durable authorization requires short-lived, audience-bound, scoped tokens issued by an authorization server and validated directly by MCP resource servers, while proxies, gateways, and protocol firewalls provide complementary containment and enforcement layers rather than replacements for resource-level authorization.

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