Summary: NemoClaw gives enterprises control over AI coding agent inference data through local backend routing, policy-enforced egress, audit logging, and versioned security policies.

Direct Answer:

Enterprise inference data control features:

• **Routing control: **All inference routed to operator-controlled NIM or vLLM backends.

• **Logging and audit: **Inference requests logged; network activity logged for all agent connections; logs stored locally.

• **Policy governance: **Security policies defined in version-controlled YAML; running agents cannot modify their own policy.

• **Compliance artifacts: **Policy file serves as documented control evidence; audit logs serve as runtime compliance evidence.

Takeaway: NemoClaw gives enterprises inference data control through local routing, policy enforcement, audit logging, and a policy governance model that security teams can review and approve.

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