Engagement that informs ZDG-AIS, ZDG-AFW, and ZDG-ACP placement.
Start by mapping the workflow, not just the model. Identify execution families, approval thresholds, operator handoffs, and evidence gaps before rollout.
Governed Execution Stack
Infrastructure for AI systems that execute.
ZDG ships four products — AFW, BB/FR, AIS, and ACP — that govern AI systems which act, with replay-linked evidence on every run.
Proof-backed governance
Runtime control
Operator surface
Platform Summary //
Four products. One governed execution layer.
Each product addresses a different part of the runtime control problem. Together they bind authority, decision, execution, and evidence into the runtime path of every governed action.
The Governed Chain
Intent → Approval → Execution → Evidence
Every governed action passes through this chain. Every step is recorded. Nothing is reconstructed.
Entry Point
Start with an exposure scan.
Map where your current AI deployment has governance gaps before deciding which products apply.
Platform Ladder
Assessment
Platform Ladder
Runtime Enforcement
ZDG-AFW — Agent Firewall.
Evaluate actions before execution. ALLOW, HOLD, and BLOCK are explicit runtime states — not implied policy intentions.
Platform Ladder
Replay & Evidence
ZDG-BB / ZDG-FR — Black Box and Flight Recorder.
Preserve the governed chain so teams can inspect what happened later. Replay-linked proof turns runtime control into something that can be reviewed and defended.
Platform Ladder
Behavioral Containment
ZDG-AIS — Agent Integrity Signals.
Add bounded containment when agent behavior drifts toward risky patterns. Controlled intervention — not theatrical shutdowns.
Platform Ladder
Operator Control
ZDG-ACP — Approval Control Plane.
Give operators a real surface for approvals, exceptions, proceed actions, and evidence handoff. This is where policy meets accountable operation.
See It Working
Proof should come before interpretation.
Review the stakeholder proof story first, then open the raw proof surface for deeper inspection.