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    GazeboIntegrationsHashiCorp Vault
    Vault

    Bridge HashiCorp Vault secrets to your AI agents

    HashiCorp Vault already provides policy-based access, auth methods, audit devices, versioned KV secrets, and dynamic credentials with leases. Gazebo can sit in front of carefully selected Vault paths for agent workflows, so agents do not need direct Vault tokens or knowledge of your auth topology. Configure a dedicated machine identity—such as an AppRole—with only read/list capabilities actually required by the mapped paths, choose the correct KV version and namespace, and retain Vault as the authority for lease, renewal, and revocation behavior.

    Why bridge HashiCorp Vault to AI agents through Gazebo?

    Vault policy is the hard boundary for the integration identity; Gazebo should narrow normal agent access further, not replace it. A broad Vault token or AppRole attached to Gazebo can still read every permitted path if compromised. Map exact paths, avoid wildcard policies where possible, enable and review Vault audit devices, and understand leases: a dynamic credential already issued may remain usable until its TTL or explicit revocation. Gazebo logs who requested a secret, while Vault audit data and the target system establish the upstream read and downstream use.

    How it works

    1. 1

      Create a dedicated Vault auth identity with minimum policy on explicit secret paths and required namespaces; do not reuse an operator token.

    2. 2

      Map each path or field to a Gazebo profile, separating static KV values from dynamic database or cloud credentials with different operational lifecycles.

    3. 3

      An approved agent calls MCP and Gazebo checks its profile before reading the mapped Vault value.

    4. 4

      Correlate Gazebo events with Vault audit-device records, lease metadata, and target-system logs. Test behavior for expired leases, sealed or unavailable Vault, and renewal failures before relying on an autonomous workflow.

    5. 5

      Disable a profile to halt new reads; revoke Vault leases or rotate static secrets when an issued value may be exposed. Removing a Gazebo grant does not revoke an already-issued dynamic credential.

    Common use cases

    Agent IAM on top of enterprise secrets management

    Keep Vault policies, auth methods, audit devices, and secret rotation as the source of truth. Gazebo gives each agent an access profile for selected paths, avoiding direct Vault tokens in agent runtimes. The integration identity itself must remain least-privilege, because it bounds the potential impact of a broker compromise.

    Dynamic secrets without agent-side renewal logic

    Fetch dynamic credentials near the point of use and design the consumer to handle expiry, revocation, and Vault unavailability. Gazebo can broker retrieval, but it does not erase lease semantics: inspect TTLs, renew or reacquire through the approved flow where needed, and use Vault lease revocation when emergency containment requires invalidating credentials already delivered.

    Connect HashiCorp Vault to Gazebo

    Give your agents scoped access to HashiCorp Vault in minutes. Every call logged. Revoke anytime.

    Connect HashiCorp Vault

    Agents that commonly use HashiCorp Vault

    Claude Coden8nEngineering Teams

    Other vaults

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    Gazebo

    IAM for AI agents. Scoped credentials, access policies, and audit trails — without rotating keys.

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