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Secure AI Operations Enclave

O6 models governed AI operations, not unrestricted autonomous infrastructure mutation.

Enterprise challenge

Uncontrolled AI agents with write access to cloud environments can create risk across security, compliance, cost, and operational stability.

Architecture solution

The O6 pattern introduces a policy-mediated boundary between AI assistance and infrastructure control-plane execution.

sequenceDiagram
    autonumber
    actor Engineer as Platform Engineer
    participant AI as Local AI Agent Stack
    participant MCP as Policy Gateway
    participant Repo as Repository and Evidence
    participant Cloud as Cloud Control Plane

    Engineer->>AI: Request analysis or draft change
    AI->>MCP: Attempt tool call
    MCP->>MCP: Evaluate policy and context
    alt Approved analysis path
        MCP-->>AI: Return sanitized metadata or permitted result
        AI->>Engineer: Present draft, impact, and evidence references
        Engineer->>Repo: Review, commit, and open PR
        Engineer->>Cloud: Human-approved workflow execution
    else Unsafe or out-of-scope path
        MCP-->>AI: Deny route
        MCP->>Repo: Record decision evidence
    end

Principles verified

  • AI agents do not hold permanent tenant-wide deployment credentials.
  • AI assists with analysis, drafting, and validation.
  • Infrastructure mutation remains governed by review, policy, and explicit human-controlled workflows.
  • Policy decisions and simulated tool routes are evidenced.

Targeted verification