DMOne™ Data Masking
Protect sensitive data across non-production and analytics—without breaking your tests
DMOne™ Data Masking helps Oracle customers keep personally identifiable and confidential information safe in Dev/Test/Training environments while retaining data realism for UAT and analytics.
It complements your DMOne™ suite and plugs into existing migration, archival and configuration workflows for Oracle Fusion and E-Business Suite.
Key Features of DMOne™ Data Masking
1) Discovery & classification
Identify sensitive fields (PII/PCI/PHI) across Fusion/EBS objects, DMOne staging, and archival stores; align with enterprise data taxonomies and generate evidence reports. (Designed to align with Oracle guidance on masking non-production data.)
2) Policy-driven masking techniques
Substitution, shuffling, format-preserving masking, tokenisation, and nulling—configured per field with deterministic(repeatable) options to keep referential integrity across related objects and multiple pods.
3) Non-production first
Target Dev/Test/Training pods, refresh clones, DMOne extracts, and analytics copies—apply column/row-level scope, exceptions, and approval workflows so teams see only what they need. (Supports the common “prod-like data in test” requirement.)
4) Oracle-aware rule library
Pre-built patterns for typical Oracle attributes (names, emails, phone numbers, addresses, bank details, national identifiers) with locale-aware formats and validation-safe outputs. (Extensible to custom fields.)
5) Automation & CI/CD
Schedule post-refresh masking, run from DMOne pipelines, and integrate with DevOps code migration flows for consistent, hands-off enforcement across environments.
6) Auditability & evidence packs
Produce run logs, coverage stats (% masked by table/column), sample distributions, and sign-off artefacts for audits and change boards.
7) Performance at scale
Parallel execution options and resilient retries to handle millions of rows across large Oracle estates.
8) Governance & separation of duties
Role-based access, maker–checker approvals, and break-glass controls so security teams can enforce policies without slowing down delivery.
Business Benefits
Reduce risk & meet compliance — minimise exposure of real customer data in non-production while supporting frameworks like GDPR/PCI/HIPAA. (Oracle recommends masking for non-prod.)
Keep tests realistic — maintain valid formats and relationships so UAT, integrations and reports run as expected.
Accelerate refresh-to-ready — automated post-refresh runs cut waiting time for testing cycles and sandboxes.
Lower analytics risk — safely use representative data for training, analytics and troubleshooting.
Works with the DMOne™ suite — sits alongside Data Migration, Data Archival and ConfigIQ to enforce consistent data controls end-to-end.
Why Choose DMOne™ Data Masking?
Oracle-focused — built for Oracle Fusion & EBS workflows; aligns with the way your teams already migrate, configure and archive data with DMOne™.
Integrated approach — combine masking with archival (AccessIQ/APEX) for legacy access and with DevOps code migration for consistent enforcement in every environment.
Proven scale — designed around the high-volume estates typical in your case studies (multi-pod, multi-million-row).
Evidence-ready — audit trails and reports your security and compliance teams can sign off quickly.
Common Use Cases
- Prod clone to Test/UAT/Training — mask immediately after refresh and before user access.
- DMOne migration cycles — mask sensitive attributes within staging/extracts used for cutovers.
- Analytics & archival — mask in downstream warehouses or AccessIQ archives to minimise residual risk.
Book a free consultation with our experts to discuss your requirements and see DMOne™ Data Mas…