EDGE//GOVgoverned AI delivery lab
Interactive portfolioHendarmawan, PhD Eng.
Lifecycle-first Edge AI

Make every deployment
prove it is safe.

Your agentflow is an architecture specification. This playground turns its central governance rule into an executable, deterministic simulation.

Humans approve Policy decides AI advises
Human governance2-person approval
Control planepolicy + provenance
Advisory AIdrift + anomaly
Secure transportmTLS + attestation
Device runtimeblue/green + rollback
01

Evidence inputs

candidate 7.3.1

Change any signal and observe how the fail-closed gate behaves.

Deployment risk24 / 100

Policy threshold ≤ 30

Model drift12 / 100

Policy threshold ≤ 25

02

Human approval

Both named, distinct roles must explicitly approve this exact deployment.

SLSafety leadsafety-lead@demo
two-person rule
RORelease ownerrelease-owner@demo

Evaluation #1 · no LLM is used in the decision

Deterministic gate

Ready to evaluate

Adjust the evidence, then run the same explicit policy every time.

Evidence tracewhat the policy inspected
  1. 01

    IdentityUnique deployment and approver IDs

  2. 02

    ProvenanceSigned bundle and SBOM evidence

  3. 03

    QualificationRisk, drift, and regression limits

  4. 04

    ReleaseActivate or preserve known-good model