Axis SAP/HANA Masking Plugin

SAP/HANA DATA MASKING FOR COMPLEX FINANCIAL ENVIRONMENTS

Mask SAP financial data without breaking rollups, relationships, or usability.

Masking names is straightforward. Masking the rolled-up, aggregated, and interdependent financial data inside SAP is fundamentally different. The Axis SAP/HANA Masking Plugin extends your existing masking platform to handle SAP's complex data structures — preserving referential integrity across FI, CO, SD, and HR modules while delivering realistic, compliant data to non-production environments.


  • Built for SAP environments running on HANA and traditional databases

  • Preserves data relationships across SAP modules and financial hierarchies

  • Implemented and supported by Axis Technology

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THE CHALLENGE

Standard masking tools were not built for SAP.

SAP stores financial data differently than standard relational databases. Aggregated balances, hierarchical cost center structures, and cross-module transaction relationships mean that masking individual fields without context produces data that is either unusable or structurally broken. Most enterprise masking platforms handle standard database schemas well but have no native understanding of SAP's data model.

Rolled-up financial data

SAP financial data aggregates across ledgers, cost centers, and profit centers. Masking at the field level without preserving these relationships produces totals that no longer match their component transactions.

Cross-module referential integrity

SAP modules — FI, CO, SD, MM, HR — share data references. A masked vendor in FI must remain consistent in CO, SD, and procurement. Standard tools mask in isolation and break these links.

HANA-specific considerations

SAP HANA's in-memory columnar architecture requires masking approaches that maintain query performance and preserve the calculated views and aggregation layers that applications depend on.

Rolled-up financial data

SAP financial data aggregates across ledgers, cost centers, and profit centers. Masking at the field level without preserving these relationships produces totals that no longer match their component transactions.

Cross-module referential integrity

SAP modules — FI, CO, SD, MM, HR — share data references. A masked vendor in FI must remain consistent in CO, SD, and procurement. Standard tools mask in isolation and break these links.

HANA-specific considerations

SAP HANA's in-memory columnar architecture requires masking approaches that maintain query performance and preserve the calculated views and aggregation layers that applications depend on.

Rolled-up financial data

SAP financial data aggregates across ledgers, cost centers, and profit centers. Masking at the field level without preserving these relationships produces totals that no longer match their component transactions.

HANA-specific considerations

SAP HANA's in-memory columnar architecture requires masking approaches that maintain query performance and preserve the calculated views and aggregation layers that applications depend on.

Cross-module referential integrity

SAP modules — FI, CO, SD, MM, HR — share data references. A masked vendor in FI must remain consistent in CO, SD, and procurement. Standard tools mask in isolation and break these links.

WHAT IT DOES

SAP-aware masking that preserves the data your teams actually need.

The Axis SAP/HANA Masking Plugin works alongside your existing masking platform to apply SAP-specific logic to financial, transactional, and organizational data — so your non-production environments contain realistic, consistent, and compliant data.

Capability 1 — Realistic financial data masking

Masks financial values while maintaining realistic ranges, proportional relationships, and consistency across aggregated rollups — so non-production data behaves like production without exposing real figures.

Capability 2 — Transaction history masking

Masks SAP transaction history accurately, preserving the structural relationships between line items, document headers, and summary balances that SAP reporting and testing depend on.

Capability 3 — Cross-module consistency

Applies masking consistently across SAP modules so that a masked entity in one module remains consistent when referenced in another — preserving the referential integrity that makes SAP data usable.

Capability 4 — HANA database compatibility

Designed specifically for SAP environments running on HANA, including support for HANA's in-memory data structures, calculated views, and aggregation layers.

Capability 5 — Integration with existing masking platforms

Works alongside leading data masking platforms rather than replacing them — extending their coverage to SAP-specific data structures without requiring a separate masking stack.

Capability 1 — Realistic financial data masking

Masks financial values while maintaining realistic ranges, proportional relationships, and consistency across aggregated rollups — so non-production data behaves like production without exposing real figures.

Capability 2 — Transaction history masking

Masks SAP transaction history accurately, preserving the structural relationships between line items, document headers, and summary balances that SAP reporting and testing depend on.

Capability 3 — Cross-module consistency

Applies masking consistently across SAP modules so that a masked entity in one module remains consistent when referenced in another — preserving the referential integrity that makes SAP data usable.

Capability 4 — HANA database compatibility

Designed specifically for SAP environments running on HANA, including support for HANA's in-memory data structures, calculated views, and aggregation layers.

Capability 5 — Integration with existing masking platforms

Works alongside leading data masking platforms rather than replacing them — extending their coverage to SAP-specific data structures without requiring a separate masking stack.

Capability 1 — Realistic financial data masking

Masks financial values while maintaining realistic ranges, proportional relationships, and consistency across aggregated rollups — so non-production data behaves like production without exposing real figures.

Capability 3 — Cross-module consistency

Applies masking consistently across SAP modules so that a masked entity in one module remains consistent when referenced in another — preserving the referential integrity that makes SAP data usable.

Capability 5 — Integration with existing masking platforms

Works alongside leading data masking platforms rather than replacing them — extending their coverage to SAP-specific data structures without requiring a separate masking stack.

Capability 2 — Transaction history masking

Masks SAP transaction history accurately, preserving the structural relationships between line items, document headers, and summary balances that SAP reporting and testing depend on.

Capability 4 — HANA database compatibility

Designed specifically for SAP environments running on HANA, including support for HANA's in-memory data structures, calculated views, and aggregation layers.

WHEN TO USE IT

Built for organizations where SAP is a critical part of the data privacy challenge.

This plugin is the right fit when your SAP environment is in scope for data privacy compliance but your current masking platform cannot handle SAP's data model without breaking usability.

Item 1 — Your masking platform doesn't support SAP natively

You have an enterprise masking platform that handles standard databases well, but SAP environments remain out of scope or require costly custom development.

Item 2 — Masked SAP data is structurally broken

Teams are receiving non-production SAP data where rollups don't balance, cross-module references are inconsistent, or transaction histories are unusable for testing.

Item 3 — SAP is in scope for GDPR, CCPA, or HIPAA compliance

Your SAP environment contains PII, financial PII, or protected health information that must be masked before data is used in development, QA, or UAT.

Item 4 — You need non-production SAP data faster

Manual approaches to SAP data anonymization are slowing down development and testing cycles, and you need a repeatable, automated process.

Item 1 — Your masking platform doesn't support SAP natively

You have an enterprise masking platform that handles standard databases well, but SAP environments remain out of scope or require costly custom development.

Item 2 — Masked SAP data is structurally broken

Teams are receiving non-production SAP data where rollups don't balance, cross-module references are inconsistent, or transaction histories are unusable for testing.

Item 3 — SAP is in scope for GDPR, CCPA, or HIPAA compliance

Your SAP environment contains PII, financial PII, or protected health information that must be masked before data is used in development, QA, or UAT.

Item 4 — You need non-production SAP data faster

Manual approaches to SAP data anonymization are slowing down development and testing cycles, and you need a repeatable, automated process.

Item 1 — Your masking platform doesn't support SAP natively

You have an enterprise masking platform that handles standard databases well, but SAP environments remain out of scope or require costly custom development.

Item 3 — SAP is in scope for GDPR, CCPA, or HIPAA compliance

Your SAP environment contains PII, financial PII, or protected health information that must be masked before data is used in development, QA, or UAT.

Item 2 — Masked SAP data is structurally broken

Teams are receiving non-production SAP data where rollups don't balance, cross-module references are inconsistent, or transaction histories are unusable for testing.

Item 4 — You need non-production SAP data faster

Manual approaches to SAP data anonymization are slowing down development and testing cycles, and you need a repeatable, automated process.

HOW IT WORKS

Extend your masking platform with SAP-specific intelligence.

This plugin is the right fit when your SAP environment is in scope for data privacy compliance but your current masking platform cannot handle SAP's data model without breaking usability.

Step 1 — Connect to your SAP/HANA environment

The plugin integrates with your existing masking platform and connects to your SAP environment — on HANA or traditional databases — without requiring changes to your SAP configuration.

Step 2 — Apply SAP-aware masking logic

Masking rules are applied with awareness of SAP's data model, preserving rollup relationships, cross-module references, and financial hierarchies that standard masking would otherwise break.

Step 3 — Deliver consistent non-production data

Masked SAP data is delivered to DEV, QA, UAT, and other non-production environments with the structural integrity intact — usable for testing, development, and compliance validation.

Step 4 — Operate repeatably

The masking process is repeatable and supportable, replacing manual anonymization with an automated, auditable workflow that scales across SAP landscapes.

Step 1 — Connect to your SAP/HANA environment

The plugin integrates with your existing masking platform and connects to your SAP environment — on HANA or traditional databases — without requiring changes to your SAP configuration.

Step 2 — Apply SAP-aware masking logic

Masking rules are applied with awareness of SAP's data model, preserving rollup relationships, cross-module references, and financial hierarchies that standard masking would otherwise break.

Step 3 — Deliver consistent non-production data

Masked SAP data is delivered to DEV, QA, UAT, and other non-production environments with the structural integrity intact — usable for testing, development, and compliance validation.

Step 4 — Operate repeatably

The masking process is repeatable and supportable, replacing manual anonymization with an automated, auditable workflow that scales across SAP landscapes.

Step 1 — Connect to your SAP/HANA environment

The plugin integrates with your existing masking platform and connects to your SAP environment — on HANA or traditional databases — without requiring changes to your SAP configuration.

Step 3 — Deliver consistent non-production data

Masked SAP data is delivered to DEV, QA, UAT, and other non-production environments with the structural integrity intact — usable for testing, development, and compliance validation.

Step 2 — Apply SAP-aware masking logic

Masking rules are applied with awareness of SAP's data model, preserving rollup relationships, cross-module references, and financial hierarchies that standard masking would otherwise break.

Step 4 — Operate repeatably

The masking process is repeatable and supportable, replacing manual anonymization with an automated, auditable workflow that scales across SAP landscapes.

Ready to bring your SAP environment into your data privacy program?

We will review your current SAP landscape and masking approach, identify where standard tools are falling short, and show how the Axis SAP/HANA Masking Plugin can extend your coverage to financial and transactional data without breaking usability.

Request a Technical Demo

Or call (857) 445-0110 to speak with our team.