Before DataMasker: a security review on every contractor request
Every new contractor triggers a security review before they can access a full-copy sandbox.
IT must manually verify what's in the sandbox, run a partial masking script if one exists, and grant access.often a week or more of delay.
Developers and QA engineers access production-quality PII directly through the Salesforce UI, SOQL queries, and reports.
Offshore teams and third-party vendors become breach vectors.not through malice, but because the data is simply there.
30% of data breaches now involve external partners. Most start with someone who was supposed to have access.
How DataMasker changes this
Set masking rules once
Configure field-level masking rules for every standard and custom object that contains PII: names replaced with realistic substitutes, SSNs replaced with valid-format decoys, emails redirected to safe domains. Rules are set once and apply to every future refresh.
Sandbox DataMaskerAutomatic execution on every refresh
When you trigger a sandbox refresh, DataMasker executes automatically.no manual step, no post-refresh script, no ticket. By the time the sandbox is available, every PII field has been masked with realistic-format data that preserves testing utility.
Sandbox DataMaskerDiscover what's in scope
Personal Data Discovery scans your org to identify every field that contains personal data.including custom fields your team may not have classified. This ensures masking rules cover your full PII footprint, not just the obvious standard fields.
Personal Data DiscoveryIntegrate with your DevOps pipeline
DataMasker exposes a REST API. Trigger masking from Copado, Gearset, Flosum, GitLab, or Jenkins.sandbox refresh and masking run as one pipeline step. No manual intervention required.
Sandbox DataMaskerAfter DataMasker: contractors unblocked in hours
No security review required before contractor sandbox access.masking runs on every refresh automatically.
Developers, QA teams, and offshore vendors work with realistic data that behaves like production without being production.
AgentForce / Einstein AI models train on masked data that maintains statistical distributions.AI performance is not degraded.
Every sandbox refresh is documented: what was masked, when, which rules were applied.
GDPR Article 32, HIPAA §164.312, and SOC 2 CC6.6 (third-party access controls) are addressed by architecture, not by policy.
Key Takeaways
DataMasker executes automatically on every sandbox refresh.no manual step, no ticket, no delay.
Contractors access realistic test data, not real customer PII. Development speed is unchanged.
Masking rules cover standard objects, custom objects, and any field identified by Personal Data Discovery.
RTBF-deleted production records are not present in masked sandboxes.GDPR compliance extends to non-production environments.
REST API integration means masking runs inside your existing DevOps pipeline (Copado, Gearset, Flosum, GitLab).
Common Questions
FAQ
How long does sandbox masking take for a large org?
DataMasker processes 5 million records per hour in production Salesforce orgs. A 99-million-record org completes masking in approximately 24 hours. Smaller orgs (under 10 million records) typically complete in 2–4 hours. Masking runs after the sandbox refresh completes and before users gain access.
Does DataMasker handle custom objects and custom fields?
Yes. DataMasker applies masking rules to any Salesforce object.standard or custom. You configure rules at the field level, so a custom SSN field on a custom object receives the same masking treatment as a standard field. Personal Data Discovery helps identify custom fields that contain PII so nothing is missed.
Does masking break our integrations or middleware?
DataMasker uses semantic masking.masked values maintain realistic formats and distributions. Dates remain valid dates. Email addresses remain valid email format (redirected to a safe domain). Account numbers maintain valid checksums. If an integration breaks after masking, it was built to expect specific real values. DataMasker can be configured to preserve specific field values that integrations depend on.
What happens to RTBF-deleted records in the sandbox?
When a contact is deleted in production after a right-to-erasure request, that record lives in every sandbox until the next refresh. DataMasker ensures that sandbox refreshes apply current production data state.records deleted in production are not present in the masked sandbox. This closes a common GDPR compliance gap in non-production environments.
How does DataMasker integrate with our DevOps pipeline?
DataMasker exposes a REST API that can be called from any CI/CD or DevOps platform. Native integrations are available for Copado, Gearset, Flosum, AutoRabit, and GitLab. The sandbox refresh and masking run as a single pipeline step.no separate manual trigger required. This ensures every environment in your pipeline receives masked data.
See this use case in your Salesforce org
30-minute demo. We walk through this specific scenario with your data model in mind.
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