SAP Data Mapping and Protection by BigID
Sensitive data discovery software
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What is SAP Data Mapping and Protection by BigID
SAP Data Mapping and Protection by BigID is a data discovery and classification offering designed to identify, map, and help protect sensitive data within SAP landscapes. It is used by privacy, security, and data governance teams to locate personal and regulated data across SAP applications and related data stores for compliance and risk reduction workflows. The product focuses on automated scanning, metadata-driven inventorying, and policy-oriented actions (for example, reporting, remediation workflows, and access/risk insights) tailored to SAP environments.
SAP-focused data discovery
It is positioned to discover and classify sensitive data specifically within SAP systems and common SAP data repositories. This focus can reduce the effort required to interpret SAP data structures compared with general-purpose discovery tools. It supports SAP-centric use cases such as mapping where regulated data resides across SAP applications and environments.
Data inventory and mapping
The product supports building an inventory of sensitive data and mapping it to systems, datasets, and data elements for governance and privacy programs. This helps teams answer where personal data exists and how it is distributed across SAP landscapes. The mapping outputs can be used to support compliance documentation and internal risk assessments.
Policy-driven protection workflows
It supports applying policies and workflows after discovery, such as generating reports, prioritizing remediation, and supporting governance actions. This connects discovery results to operational processes rather than stopping at classification. It aligns with common privacy and security operating models that require evidence, triage, and follow-up actions.
SAP-centric scope bias
The product is oriented around SAP environments, which may limit its value if an organization’s sensitive data footprint is primarily outside SAP. Enterprises with many non-SAP SaaS and collaboration repositories may need additional tooling or integrations to achieve consistent coverage. This can increase operational complexity for cross-platform discovery programs.
Integration and tuning effort
Sensitive data discovery typically requires connector setup, permissions alignment, and tuning of classification rules to reduce false positives and false negatives. SAP environments can add complexity due to custom tables, extensions, and varied deployment models. Teams should plan for implementation time and ongoing rule/connector maintenance.
Licensing and packaging clarity
Because the offering is presented as a joint/partnered solution, packaging and entitlements can be less straightforward than a single-vendor product bundle. Buyers may need to validate which capabilities are included (for example, specific connectors, remediation actions, or modules) and how support responsibilities are split. This can lengthen procurement and solution design.
Seller details
BigID, Inc.
New York, NY, USA
2016
Private
https://bigid.com
https://x.com/BigID
https://www.linkedin.com/company/bigid/
