SAP HANA exposes data through a different privilege model, so older role assumptions do not transfer cleanly. Traditional SAP controls often focus on application-centric access, while HANA requires precise governance over views, tables, schemas, and analytical privileges. Without that shift, organisations risk overprivileged access and weak control over how data is actually used.
Why SAP HANA Needs a Different Governance Model
SAP HANA changes the control problem because access is no longer just about who can launch a business transaction. It is about who can query, join, calculate, and extract data at the database layer, where analytic privileges and object-level permissions matter. That makes older application-centric role design too coarse for modern data access, especially when teams assume SAP ERP habits still apply to HANA.
Security teams often discover the gap only after reporting teams, integration jobs, or technical users inherit broad permissions that were never meant for direct data use. NHI Management Group has repeatedly stressed that identity governance must follow the actual control plane, not the application label, as reflected in its Ultimate Guide to NHIs — Regulatory and Audit Perspectives and Top 10 NHI Issues. The same principle applies here: the risk sits in the data layer, so governance has to follow it. Current guidance from the NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10 both reinforce least privilege, strong authentication, and continuous control of non-human access. In practice, many security teams encounter HANA overexposure only after audit findings or reporting misuse has already occurred, rather than through intentional role redesign.
How HANA Access Should Be Governed in Practice
HANA governance starts by separating application authorization from database authorization. In older SAP landscapes, a role might safely map to a business function. In HANA, that same role can become too broad if it grants direct access to schemas, calculation views, analytical privileges, or technical tables that were never intended for end-user consumption. The control objective is to make each permission match a specific data purpose, not a generic job title.
Practically, that means reviewing access at four levels: object privilege, schema privilege, analytical privilege, and procedure execution. Analytical privileges are especially important because they constrain which rows or dimensions a user can see, which is often the real business boundary. Technical users, service accounts, and data pipeline identities should be governed as NHIs with explicit ownership, short-lived secrets where possible, and documented purpose. That aligns with NHI lifecycle guidance in Ultimate Guide to NHIs – Lifecycle Processes for Managing NHIs and the incident patterns described in 52 NHI Breaches Analysis. For implementation, security teams should:
- Inventory all direct HANA users, technical accounts, and service-to-service identities.
- Map each role to business purpose, data domain, and HANA object scope.
- Remove inherited broad access from legacy SAP roles where direct database use exists.
- Review analytical privileges separately from base table and schema access.
- Revalidate service accounts, integration users, and batch jobs on a fixed schedule.
NIST guidance on security controls and identity governance supports this layered approach, especially where direct database access bypasses the traditional application path. These controls tend to break down when multiple business units share one HANA tenant because object ownership, reporting needs, and technical service accounts quickly become entangled.
Where the Standard SAP Access Model Breaks Down
Tighter HANA governance often increases administrative overhead, requiring organisations to balance precision against operational speed. That tradeoff is real, especially in environments with custom reporting, multiple subsidiaries, or heavy integration into non-SAP analytics platforms.
The biggest edge case is the mixed landscape, where classic SAP application roles, HANA-native access, and third-party ETL tools coexist. In that environment, one-size-fits-all RBAC usually overgrants to keep processes moving. Best practice is evolving toward context-aware review of why access is needed, which data sets are involved, and whether direct query access is truly required. There is no universal standard for this yet, but current guidance suggests treating HANA access as a data governance problem as much as an IAM problem. That is why the Ultimate Guide to NHIs and vendor-neutral control thinking in the NIST Cybersecurity Framework 2.0 remain useful starting points. For regulated datasets, audit teams should also verify whether privileges on HANA views and procedures create indirect exposure even when table access looks restricted. In practice, the model fails fastest when legacy roles are reused for analytics and integration without re-scoping the underlying HANA object privileges.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-53 Rev 5 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | HANA technical users and service accounts are non-human identities needing explicit governance. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access is central to controlling HANA object and analytical permissions. |
| NIST SP 800-53 Rev 5 | Database access control, monitoring, and account management map directly to HANA governance. | |
| NIST AI RMF | HANA often underpins analytics pipelines where trustworthy data access and oversight matter. | |
| CSA MAESTRO | GOV-1 | Governance of machine and service identities fits MAESTRO's agent and workload control model. |
Treat HANA service accounts as governed workloads with defined ownership, lifecycle, and access reviews.
Related resources from NHI Mgmt Group
- How should organisations approach identity governance when business applications, cloud infrastructure, and data access are all converging?
- How should organisations improve SAP access governance when native segregation-of-duties controls only show technical violations?
- How do organisations build a risk-based approach to managing access across business applications?
- Who is accountable for protecting PHI when access governance spans multiple healthcare applications?
