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Enterprise SAP Data Protection
Dynamic Data Masking for SAP That Adapts in Real Time
Protect sensitive SAP information at the exact point of access. Enterprise Data Insight evaluates identity, role, transaction, location, device, time and business purpose before deciding whether individual fields should be revealed, masked, restricted or blocked.
Dynamic Data Masking for SAP adds a contextual
protection layer inside the business process.
Authorised users can continue working while
sensitive information is reduced to the precise
level required for their task.
SAP ECC and SAP S/4HANA
Field-level policy enforcement
Production and non-production
Decision evidence and audit context
DDM
EDI Policy Engine
Policy Engine Active
User Role
HR Manager
Location
Remote Network
Device
Unmanaged Device
Access Time
14:42 · Business Hours
PA20 — HR Master Data
DDM-HR-REMOTE-048
Employee Name
A. Employee
ALLOWED
Salary
£••,500
MASKED
Bank Account
••-••-•• / ••••2134
MASKED
National ID
Restricted
RESTRICTED
49
Transaction allowed with contextual masking
Sensitive values protected before display
MASK
Protect Individual Values
Mask salary, banking, identity, customer, supplier and financial fields without blocking the entire transaction.
Evaluate Every Request
Combine role, location, device, time, transaction and business context before returning an outcome.
Enforce Before Display
Apply masking, restriction or blocking before sensitive information is presented to the user.
Explain Every Decision
Record the request, attributes, policy, enforcement action and decision reason.
What Is Dynamic Data Masking for SAP?
Move Beyond Transaction Access to Precise Data Visibility
Traditional SAP authorisation determines whether a user may enter a transaction, application or business process. It does not always determine whether every sensitive value shown inside that process is necessary for the user’s immediate responsibility.
Dynamic Data Masking for SAP closes that control gap. Enterprise Data Insight evaluates the full access context in real time and applies the correct field-level outcome without changing the original business value stored in SAP.
One valid SAP role can produce several different data outcomes.
Two employees may enter the same transaction from the same London office. An HR Director can receive full access while a line manager sees masked compensation and no banking or National ID information.
Need-to-Know Data Protection
Reveal only the fields required for the business task while protecting unnecessary sensitive information.
Dynamic Policy Evaluation
Re-evaluate access when the user, device, network, time, location or requested data changes.
Decision Evidence and Investigation
Capture who requested the data, what was requested, the matched policy and the enforcement outcome.
The Control Gap
Authorised Access Does Not Always Mean Appropriate Data Exposure
A user can legitimately open an SAP transaction while still seeing more sensitive information than the immediate business task requires.
Traditional Transaction Access
Broad Exposure
Employee Name
A. Employee
VISIBLE
Salary
£74,500
VISIBLE
Bank Account
20-11-09 / 45892134
VISIBLE
National ID
AB 12 34 56 C
VISIBLE
Home Address
14 Market Street
VISIBLE
→
Context-Aware Protection
Need-to-Know
Employee Name
A. Employee
ALLOWED
Salary
£••,500
MASKED
Bank Account
••-••-•• / ••••2134
MASKED
National ID
•• •• •• 56 C
MASKED
Home Address
Restricted
RESTRICTED
Explore Policy Strength
Need-to-Know Protection
No Masking
Selective
Need-to-Know
Restricted
Live Dynamic Data Masking for SAP Demo
Build an Access Request and Watch the Policy Decision
Select the user, location, device, access time and requested information. The demonstration evaluates the complete business context and returns a field-level outcome.
DDM
EDI Access Decision Lab
Dynamic field-level policy evaluation
Decision Service Online
HR Director requests Full HR Master Data
Policy DDM-HR-ALLOW-001
01
Request Intercepted
02
Identity and Role
03
Context Evaluated
04
Policy Matched
05
Decision Enforced
18
Full Authorised Access
ALLOW
The role, trusted office, managed device and business-hour conditions satisfy the active access policy.
Trusted EDI Office
Managed Device
Business Hours
HR Director
Business Field
Stored Value
Presented Value
Outcome
Employee Name
A. Employee
ALLOWED
Job Title
Senior HR Analyst
ALLOWED
Salary
£74,500
ALLOWED
Bank Account
20-11-09 / 45892134
ALLOWED
National ID
AB 12 34 56 C
ALLOWED
Home Address
14 Market Street
ALLOWED
A/B
Same office. Same transaction. Different
data outcome.
Compare HR Director · London with Line
Manager · London. Their field-level access
changes according to role and business
responsibility.
Dynamic Data Masking for SAP Use Cases
Protect Sensitive Information Across Real SAP Business Processes
Apply contextual protection to HR, finance, customer, supplier, procurement and third-party support scenarios without forcing every user into the same visibility model.
HR Shared Services
Support local HR, central HR, managers and payroll teams while applying different visibility rules to the same employee record.
Business Request
Access employee master data through PA20
Context Evaluated
Role, scope, location, device, time and
requested data
Policy Outcome
Reveal operational fields, mask salary
and restrict banking and identity data
Evidence Captured
User, transaction, fields, matched
policy and enforcement action
Employee and Payroll Data
Apply differentiated access to salary, banking, identity, address and employee-master fields.
- Local versus central HR visibility
- Manager-level salary masking
- Remote-access restrictions
Finance and Payment Information
Protect bank, payment, invoice, account and high-risk financial information.
- Supplier bank-value masking
- Payment-field restrictions
- High-risk override controls
Customer and Business Partner Data
Reduce unnecessary exposure to personal, contact, credit and account information.
- Customer PII protection
- Contact-value masking
- Role-based credit visibility
Privileged and External Support
Provide enough information to resolve incidents without exposing complete production records.
- Time-bound vendor access
- Production-data masking
- Investigation evidence
Enterprise Decision Architecture
Separate Policy, Context and Enforcement Without Losing Operational Control
Dynamic Data Masking for SAP evaluates contextual attributes, applies centrally governed policy and enforces the resulting obligation at the point of access.
Context Foundation
Build the Decision With Trusted Attributes
Identity, role, organisation, location, device, network, access time, requested resource and risk signals provide the context required for a precise field-level decision.
✓
Use current session and business context
✓
Combine identity and environmental signals
✓
Support risk-aware policy outcomes
Enterprise Data Insight Updates
Follow Our SAP Data Security Research, Product Updates and Industry Insight
Connect with Enterprise Data Insight on LinkedIn for updates covering Dynamic Data Masking for SAP, contextual access control, data security, SAP transformation and enterprise data governance.
Dynamic Data Masking for SAP FAQ
Questions From SAP Security and Business Teams
Understand how contextual masking changes data visibility and works alongside SAP roles and authorisations.
Discuss Your SAP Use CaseWhat is Dynamic Data Masking for SAP?
Dynamic Data Masking for SAP evaluates the context of an access request and applies a field-level outcome before sensitive information is displayed.
Does dynamic masking replace SAP roles?
No. SAP roles continue to determine whether a user may enter a transaction. Dynamic masking controls which sensitive values are presented inside that authorised process.
Can users in the same transaction see different information?
Yes. Role, location, device, time, organisational scope and requested data can produce different field-level outcomes.
Can access be blocked after business hours?
Yes. Time can be included as a policy condition, allowing an after-hours request to be masked, restricted or blocked.
Can remote access remain usable?
Yes. The transaction can remain available while sensitive fields are masked according to the remote access context.
What evidence is recorded?
Evidence can include the user, transaction, requested fields, contextual attributes, matched policy, decision reason and enforcement action.
Protect Sensitive SAP Data in Real Time
See How Dynamic Data Masking Works With Your Roles, Data and Business Scenarios
A tailored demonstration can model your sensitive SAP fields, access conditions, policy outcomes and evidence requirements.
Book a Tailored Demonstration →A Tailored Session Can Cover
01
Your Sensitive SAP Fields
HR, finance, customer, supplier and
operational information
02
Your Access Conditions
Role, location, device, time, transaction
and risk
03
Your Protection Outcomes
Reveal, partial mask, full mask, restrict
or block
04
Your Evidence Requirements
Policy reason, context, audit and
investigation