Masked or synthetic
Non-production environments use masked or synthetic data, not raw production records.
Secure
Test Data Management
Keep raw production data out of non-production
Require that non-production environments use masked or synthetic test data, and check it before a change ships. A policy sets what each environment may use, and the same analysis that runs at the deploy gate flags an environment that would run on raw production data.
- Non-production environments run on appropriate data, confirmed at every deploy rather than on trust
- A recorded, auditable history of every test-data policy check across all environments
- One consistent rule applied everywhere, not left to each team to remember or wire manually
The problem
Raw production data leaking into staging, development, or test environments is a compliance risk you may not see until an auditor asks. Without a formal policy and a check at every deploy, the rule stays implicit, and any engineer who sets up a new environment can wire it to production records without realizing the violation.
Without IntegraCI
- No declared rule for which environments may use which data
- Raw production records in staging, discovered at audit time
- Compliance checks done manually when someone remembers
- Each team decides test-environment data setup on its own
With IntegraCI
- A policy as code declaration for every non-production environment
- The deploy gate runs the same analysis every time, not just on request
- Non-compliant environments are flagged or blocked before a change ships
- A tamper-evident record of every policy evaluation
What you get
Policy per environment
You set what test data each environment is allowed to use.
Warn or require
Run in a warning mode or enforce the policy as a hard requirement.
Checked at the gate
The deploy gate runs the same analysis, so the rule is enforced consistently.
How it works
- 1
Set the policy
Declare the test-data rule for each non-production environment.
- 2
Analyze the data
The platform checks an environment against the policy.
- 3
Gate or warn
A non-compliant environment is flagged or blocked at deploy.
How it stays governed
The same gates everyone passes, applied here.
Gated by policy
Each environment is evaluated against policy as code before a change is allowed to deploy. You declare what kind of test data each non-production environment may use, and the gate runs that rule on every deploy, so the check cannot be skipped by omitting a manual step.
Recorded, tamper-evident
Every policy evaluation writes once to a tamper-evident audit trail with the result and the evidence behind it. If an auditor asks whether staging ran on raw production data, you can show a recorded answer rather than reconstruct one from memory.
Works with your stack
Connect the tools you already run.
IntegraCI orchestrates and gates the masking or synthetic-data tools you already run; it does not replace them.
- Akuity
- Amazon Web Services
- Buildkite
- CircleCI
- CNCF Tekton
- Drone CI
- Harness
- Jenkins
- Aqua Security
- DefectDojo
- Elastic
- Google Cloud
- Greenbone
- HashiCorp
- IBM QRadar
- Isovalent / Cilium
- Mend
- Microsoft Azure
- +37 more
Who it’s for
Where teams reach for it.
Proving compliance for regulated environments
A team operating under data-privacy regulations must demonstrate that staging never touches real user records. Set a policy that blocks any staging deploy unless the environment is confirmed to use masked or synthetic data, and point auditors to the recorded gate history.
Catching a misconfigured environment before it ships
A developer creates a new test environment and accidentally points it at a production replica. The deploy gate runs the analysis and flags the environment before the change reaches users, without relying on anyone noticing.
Gradual adoption with warning mode
A team that has not yet migrated to synthetic data can start in warning mode. Violations surface without blocking deploys, giving the team time to remediate before the policy becomes a hard requirement.
Questions, answered.
Does IntegraCI replace our data-masking or synthetic-data tool?
No. IntegraCI governs and gates the tools you already run. Your masking or synthetic-data engine keeps operating; IntegraCI checks whether the result satisfies the policy before a change is allowed to proceed.
How are the rules written?
Rules are written as policy as code and tied to specific non-production environments. You declare what data each environment may use, and the platform enforces that declaration at the deploy gate consistently.
Can we start without blocking deploys?
Yes. Warning mode lets the platform run the analysis and surface violations without blocking a deploy. You move to enforcement when your environments are ready.
What does the audit record contain?
Every policy evaluation is written once to a tamper-evident audit trail with the environment checked, the policy that applied, and the outcome. You can show a recorded history to an auditor rather than reconstructing events from pipeline logs or memory.
Put Test Data Management on your stack.
Request a demo, or read the docs to see how it fits the tools you already run.