Bridge Infisical secrets to AI agents through Gazebo
Infisical can remain the source of truth for application secrets while Gazebo acts as the policy boundary for agent workloads. That is especially useful for teams that self-host or use multiple projects and environments: an agent that needs one deployment secret should not receive a token capable of browsing an entire project. Start with a machine-oriented Infisical identity limited to the required project, environment, paths, and secret actions, then map only the values a named agent or workflow is allowed to retrieve. Keep the upstream Infisical configuration as the durable secrets system and use Gazebo to make the agent-facing path explicit.
Why use Gazebo to bridge Infisical secrets to agents?
An Infisical service token or machine identity remains the upper bound of what the integration can read. If it has broad project or environment access, that scope still matters during an incident even though Gazebo can limit routine requests to mapped secret values. Use project and environment boundaries, narrow path or secret access where available, and separate development from production before enabling automation. Gazebo records which agent requested a mapped value and whether policy allowed it; Infisical and the destination provider remain the evidence sources for the upstream secret read and the downstream API action. Removing a profile stops new brokered retrievals but does not invalidate a value already copied into a running process.
How it works
- 1
Create a dedicated Infisical machine identity or service token with only the project, environment, paths, and secret permissions Gazebo needs; do not reuse a human or broad administrator credential.
- 2
Map individual secrets to named Gazebo profiles and keep development, staging, and production values on separate paths or profiles. Avoid treating one project-wide environment as a single agent permission.
- 3
An approved agent requests its credential through Gazebo's MCP endpoint. Gazebo evaluates the profile before reading the mapped Infisical value.
- 4
Review the agent decision with Infisical audit records, deployment or workflow logs, and the target provider's activity. Test access-denied, expired-token, unavailable-service, and rotation behavior before relying on an unattended workflow.
- 5
Disable the profile to halt future retrieval. If the machine identity or a delivered secret may be exposed, rotate or revoke it upstream and revalidate the remaining mappings before restoring access.
Common use cases
Self-hosted secrets with agent IAM
A self-hosted Infisical deployment can remain the system of record while Gazebo provides a named, agent-specific retrieval path. The integration identity still needs careful upstream scope, network protection, monitoring, backup, and rotation; agent policy should narrow a secure secrets design, not substitute for one.
Audit trail beyond Infisical's own logs
Gazebo identifies the agent profile, requested mapping, decision, and time. Infisical records the secrets-system event, while the target provider or application records the resulting use. Keep those records together during an access review so a credential request is not mistaken for proof of an API call or a configuration change.
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