01 — Enforcement
Single Decision Authority
Every agent action clears one gate. No parallel paths. No implicit permission by silence. The decision is made once, on the record.
Governance For AI That Acts
If your AI can act, you already have a governance problem.
ZDG is the operational control layer for AI systems.
AI systems now execute actions, not just generate text
Most organizations cannot prove what happened, why, or under whose authority
When scrutiny arrives, everyone becomes a historian.
ZDG replaces reconstruction with evidence.
Runtime Reality
The gaps are structural, not accidental.
Most AI governance problems are not failures of policy. They are failures of architecture. The runtime path was never designed to enforce, record, or prove.
No single enforcement point
Every model call, tool invocation, and agent hop is a separate control gap.
There is no gate that all actions pass through.
Multiple decision paths
Actions reach execution through different routes depending on how the agent was built.
Policy applies inconsistently, if at all.
Logs without evidence integrity
Telemetry captures what happened. It does not prove that what happened was authorized,
or that the record cannot be separated from the decision that produced it.
Policy changes that don't change behavior
When policy and runtime are separate systems, updating the policy does not update
what the AI does. The gap between document and enforcement is invisible.
A BLOCK outcome from a governed run — the system stops and requires explicit operator intervention. Enforcement is not a log entry. It is a gate.
Control Layer
Three things ZDG puts in the runtime path.
02 — Recording
Evidence Integrity
Every decision is recorded with the inputs, the policy version, and the outcome. Replay is possible. Reconstruction after the fact is not required.
03 — Correctness
Policy-Versioned Correctness
Policy changes are bound to the runtime path. What the system does reflects what the policy says — with the version that was active at decision time on the record.
Proof of Control
This is real, not a claim.
The ZDG control center ships two commands that return verifiable output. No dashboard. No summary. The chain itself.
Decision explanation
python -m core.zdg_control_center explain --task-id <id>Returns the decision record for a specific task: inputs evaluated, policy version applied, outcome reached, operator approval status. One command, one auditable answer.
System integrity verification
python -m core.zdg_control_center audit-integrityVerifies the evidence chain across all governed runs. No gap means no decision was made without a record. This runs in seconds, not audit cycles.
What this proves
- The decision is enforced — not logged after the fact
- The decision is recorded — with the exact inputs that produced it
- Evidence is linked — to the specific run, policy version, and operator action
- System integrity is verifiable — on demand, not only at audit time
Entry Point
AI Governance Exposure Scan
A fixed-scope diagnostic. We identify the governance gaps in your current AI deployment and produce findings your board or legal team can act on.
No open-ended engagement. No framework deliverable. One defined output: where your runtime control is absent, partial, or undefendable.
The Stack
Four products. One control layer.
Each product addresses a different part of the runtime control problem. They are designed to work together, or to be deployed into existing infrastructure.
AFW
Agent Firewall
Evaluates every agent action against policy before it executes. Returns ALLOW, HOLD, or BLOCK. No action reaches execution without clearing it.
BB / FR
Black Box / Flight Recorder
Records every governed event with replay fidelity. What happened, what was evaluated, what was decided — all replayable, none reconstructed.
AIS
Agent Immune System
Surfaces behavioral signals — reasoning drift, escalation, deception attempts — during the run. Not in the post-mortem.
ACP
Control Plane
Where human judgment is explicit and bound to execution. Approval is recorded, not implied by inaction.
Enterprise Operators
Risk, control, and auditability.
For organizations deploying AI in consequential workflows — where decisions must be defended, approvals must be recorded, and evidence must survive scrutiny.
ZDG gives you the operational posture that your legal, risk, and board conversations require.
Builders
ZDG-FR Developer Edition
The Flight Recorder in developer form. Instrument your agent, capture governed runs, and produce verifiable output from the first deployment.
Built for teams who want governance wired in, not bolted on afterward.
Governance for AI that acts should look like operational control — not retrospective explanation.
Next Step
Start with an exposure scan. Move to runtime control.
The scan identifies where your governance posture is absent or undefendable. The platform gives you the infrastructure to close those gaps.