What is Netbird AI?
Netbird Agent Network provides keyless, identity-aware access for AI services by replacing long-lived API keys with network-layer access tied to OIDC identity providers (Okta, Entra, Google).It routes AI requests through a proxy and encrypted WireGuard tunnels to gate access to LLM providers and internal AI gateways while stamping each request with caller identity and idp group memberships.
Policy enforcement enables per-user and per-group rate limits, token and budget caps, immediate revocation, and reachability controls.Full audit logs capture identity, model, tokens, cost, latency, and status for each request to support cost attribution, incident investigation, and SIEM integration.
Deployments support cloud, on-prem, and hybrid environments with agent-based peer-to-peer connectivity and tunnel-only access for private resources.Open-source architecture integrates with existing identity providers and AI gateways to centralize governance, access management, and spend controls across teams and agents.
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Netbird AI's key features
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Keyless, identity-aware network-layer access tied to OIDC identity providers (Okta, Entra, Google)
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Routes AI requests through a proxy and encrypted WireGuard tunnels and stamps each request with caller identity and IDP group memberships
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Policy enforcement with per-user and per-group rate limits, token and budget caps, immediate revocation, and reachability controls
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Full per-request audit logging capturing identity, model, tokens, cost, latency, and status with SIEM integration
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Supports cloud, on-prem, and hybrid deployments with agent-based peer-to-peer connectivity, tunnel-only access for private resources, and open-source integration with identity providers and AI gateways
Netbird AI use cases
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Provide keyless, identity-aware AI access for employees and contractors by integrating Netbird with your OIDC provider to route requests through encrypted WireGuard tunnels, enforce per-user/group rate limits and token/budget caps, and enable instant revocation and auditing
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Isolate and control multitenant AI workloads for a SaaS or ML platform by applying network-layer, per-customer access policies and quotas, routing traffic through encrypted proxies and peer-to-peer agents, and collecting audit logs for compliance without exposing long-lived API keys
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Secure CI/CD pipelines and hybrid-cloud inference deployments by using Netbird Agent peer-to-peer connectivity to route model requests from on-prem agents to cloud-based AI backends, stamp each request with identity and groups for fine-grained access control, and centrally manage throttling, budgets, and revocation
Who is it for?
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Machine learning platform engineers
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Security engineers
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Iam engineers
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Devops engineers
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Compliance officers