Use case
Test a design change against a mirror first
Model a proposed change against a mirror of your connected estate and see cost, dependencies, downtime risk and control status before anything moves.
Validate infrastructure changes with virtual deployment testing before production
Model a change against a mirror of the estate: cost, dependencies and downtime risk, then the control status re-evaluated — where a scan and a manual assertion disagree, the scan wins.
Components in twin
—
not measured yet
Monthly cost change
—
not measured yet
Dependencies affected
—
not measured yet
Controls re-evaluated
—
not measured yet
No change proposed. The twin mirrors the estate as it is.
Not re-evaluated yet. A control carried over from before the change has not been tested against it.
GOES IN
Connected accounts
COMES OUT
working…
ILLUSTRATIVE SEED DATA — NOT CUSTOMER DATA
22 components
When it comes up
The design review asks what it costs and what it breaks, and the honest answer is a spreadsheet nobody trusts.
What changes
Cost delta, affected dependencies and downtime risk are modelled against a mirror of the estate before anything moves.
When it comes up
Controls that passed before the change are assumed to pass after it, which is how a migration quietly loses encryption.
What changes
Controls are re-evaluated against the changed model, and one with no result stays not evaluated.
When it comes up
Someone recorded a control as passing months ago and nothing has re-checked it since.
What changes
Where a scan and a manual status disagree, the scan wins and the row shows which produced the verdict.
Validate your infrastructure changes in a safe, isolated digital twin before deploying to production.
Illustrative figures — not customer data
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Why teams use this
Use case
Model a proposed change against a mirror of your connected estate and see cost, dependencies, downtime risk and control status before anything moves.