Governed Execution Stack

Infrastructure For AI Systems That Execute.

ZDG ships four products: AFW (boundary enforcement), BB/FR (capture and replay), AIS (behavioral detection), and ACP (operator approvals). Together they govern AI systems that act, with replay-linked evidence on every run.
Proof-backed governance Runtime control Operator surface
Platform Ladder

Assessment

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.

Platform Ladder

Runtime Enforcement

ZDG-AFW — Agent Firewall.

Evaluate actions before execution. Allow, block, and approval 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. The goal is 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 and platform pages for deeper inspection.