control plane · v.01

Governing the space
between prompt
and decision.

AI security, governance, and fractional product leadership for teams shipping AI harnesses into industrial, edge, and cloud stacks.

INPUTpromptCTXcontextORCHESTRATIONagent harnessATTESTgovernanceOUTPUTdecision
Input Control
Prompt governance, injection defense, context integrity across sensor → prompt pipelines.
Inference Harness
Agent orchestration audits, tool-call attestation, LLM middleware and policy-as-code.
Output Governance
Response validation, actuator gating, human override, compliance alignment.
/ stack progression

From sensor to decision.

We govern the entire path — IoT/OT signals, private 5G transport, cloud inference, and the agent harness that turns model output into attestable action.

  1. IoT / OT layer
    01 · SIGNAL
    IoT / OT

    Sensors, PLCs, and machine telemetry. The ground truth surface where physical process meets digital control.

  2. Private 5G · Edge layer
    02 · TRANSPORT
    Private 5G · Edge

    Deterministic low-latency links from the factory floor to edge inference. URLLC slices, MEC compute, zero-trust perimeter.

  3. Cloud layer
    03 · COMPUTE
    Cloud

    Model hosting, retrieval, telemetry aggregation. The heavyweight substrate where models train, evaluate, and version.

  4. AI Harness layer
    04 · CONTROL
    AI Harness

    Agent orchestration, tool-call policy, attestation, human override. Where inference becomes accountable decision.

Provenance
Zero-trust transport
Model attestation
Human override