Secure agent runtimes: what changes for secrets governance?

TL;DR: Secure agent runtimes govern how AI agents use credentials during execution without exposing the secret to the model, which reduces leakage into logs, memory, and tool flows, according to KeyRunner. The separation shows why vaults alone do not solve agent-era identity risk: governance has to move to the point of use.

Editorial analysis by NHI Mgmt Group, based on content published by KeyRunner: “Secure Agent Runtime vs Secrets Manager: What Is the Difference?”.

By the numbers:

• 54% of organisations are dissatisfied with their current secrets management solution because not all secrets are secured, and 43% cite lack of central management, according to the 2024 State of Secrets Management Survey.
• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, according to the Ultimate Guide to NHIs.

Key questions

Q: What breaks when an AI agent receives the secret instead of a reference?

A: The control boundary breaks because the credential can leak into logs, memory, traces, or tool flows outside the vault.

Q: Why does runtime policy matter if the vault already secures the credential?

A: Because the vault only governs storage and retrieval, while runtime policy governs whether the action should happen at all.

Q: What are the signs that secrets are being overexposed in agent workflows?

A: Look for credentials appearing in prompts, logs, traces, memory stores, or repeated tool configuration updates.

Practitioner guidance

• Define a runtime enforcement boundary Keep the vault as the system of record and require the runtime to resolve credentials only after policy approval.
• Remove raw secrets from agent context Pass tool names, vault references, and business parameters to the agent instead of copying credential values into prompts or tool state.
• Audit credential propagation paths Check logs, traces, memory stores, and tool outputs for any point where a secret can escape the controlled execution boundary.

Bottom line: A secrets manager can protect credentials at rest without controlling how an AI agent uses them during execution.

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