Solutions · AI Workload Access

Scoped access paths for AI workloads.

Give agents, CI jobs, and private inference services scoped access paths instead of broad internal network reach. Access is identity-bound, auditable, and revocable.

Agents and CI jobs should not have network-level trust.

An AI agent that needs to query a vector store or call an internal API does not need a flat VPN grant to your internal network. NetSeed issues a workload identity and a scoped path — the agent reaches exactly the services it is assigned.

  • Agent identity AI agents receive a scoped workload identity at launch. The identity is short-lived and bound to the session — no long-lived credential in the agent environment.
  • CI job access CI runners authenticate at job start and receive a scoped session for the duration of the job. No shared pipeline secrets, no standing network access.
  • RAG and retrieval access Retrieval pipelines can reach vector stores, document stores, and internal data sources through a controlled path — not a broad network tunnel.
  • Private inference services Host private model inference endpoints inside the network and publish them only to authorized callers — agents, consumers, or internal teams.
  • No broad intranet access Workload identities carry explicit scope. An agent session cannot reach services it was not assigned — lateral movement requires a separate explicit grant.
AI WORKLOAD ACCESS

Access that expires with the job

Workload identity sessions are issued at launch and expire at the end of the session — no credential rotation ceremony, no standing network access to clean up.

How it works

Workload identity in, scoped path out.

NetSeed treats AI agents and CI jobs as first-class identity subjects — not machines with network access, but named workloads with explicit service scope.

01

Issue workload identity

At launch, the agent or CI job authenticates via NSC and receives a short-lived workload identity. The identity carries the access scope defined in policy.

02

Tunnel to gateway

NSC opens a WireGuard tunnel. NSGW evaluates the workload identity and access scope at ingress — unauthorized service paths are dropped before they reach the site.

03

Reach assigned services only

NSN proxies the connection to the assigned internal services. The workload can reach the vector store, the API, or the inference endpoint — nothing else.

04

Audit and revoke

Every service access produces a per-flow record. If an agent behaves unexpectedly, the workload identity can be revoked immediately — without touching network configuration.

The boundary

A service-level boundary between model gateways and data sources.

The most sensitive part of an AI pipeline is the boundary between the model and the data it consumes. NetSeed enforces that boundary with policy, not network proximity.

MODEL GATEWAY

Model gateway to data source

Define an explicit access policy between the model serving layer and internal data sources. A compromise of the model layer does not grant network access to the data layer.

AUDIT

Every retrieval is a record

Each data access by an agent produces a structured per-flow record. Compliance reviews and incident investigations have a clear trail of what the agent reached and when.

REVOCATION

Revoke without network change

If an agent identity is compromised or a job ends, the workload identity is revoked. No network reconfiguration, no firewall update, no VPN tunnel teardown.

Get started

Issue your first workload identity today.

NetSeed treats agents and CI jobs as first-class identity subjects. Scope their access, audit their flows, and revoke when the job is done.