the challenge
Most teams working with SAP data in non-production environments understand the need to mask sensitive information. The real challenge lies in accurately identifying that data and consistently masking it at scale.
Manual masking rules are difficult to maintain and prone to gaps as schemas evolve and new fields emerge. In SAP environments, the challenge is greater. Some fields are tightly coupled to system logic and cannot be altered without breaking functionality, including country codes, reference data, and system-managed identifiers. Mask these incorrectly, and the environment stops working.
Most masking solutions lack the context to distinguish between sensitive and operationally critical data. As a result, teams face a trade-off between unnecessary data exposure and unstable non-production environments.
Most masking solutions lack the context to distinguish between sensitive and operationally critical data. As a result, teams face a trade-off between unnecessary data exposure and unstable non-production environments.
how SYNTHESIZED works
AI-powered PII detection, module by module
Synthesized scans for sensitive columns using AI, based on the specific business processes and SAP modules you're running. ML models understand what's sensitive in your environment specifically. Finance data is treated differently from HR data. The scan adapts to what you're actually working with, not a generic ruleset applied across the board.
Masking that knows what not to touch
Country codes. System-controlled fields. Configuration values that can't change without breaking things downstream. Synthesized understands which elements shouldn't be masked based on the modules selected and leaves them alone. Getting this wrong is one of the most common causes of broken test environments after a masking run.
In your control, always
Every masking decision is visible and adjustable. Add elements that weren't automatically identified. Change how specific fields are handled. Override defaults for particular environments. The AI does the discovery and the heavy lifting. Your team decides what happens with it.
Built into your workflow, not added on top
Masking integrates via API, CLI, or YAML-based data-as-code configuration. Every test run starts with a fresh, compliant dataset. No waiting for someone to run a manual process. No need to wonder whether the rules were applied consistently this time.
Organizations using Synthesized report delivery cycles running up to
70% faster
with test environments provisioned in minutes rather than the days manual refresh approaches require.
Why Synthesized
What Synthesized brings to data masking
Most teams are already doing data masking. Synthesized makes it significantly easier, faster, and more reliable. Rather than maintaining masking rules by hand across thousands of tables, the AI automatically discovers sensitive data, understands which fields can and can't be changed within your SAP modules, and applies protection consistently every time.
Compliance is encoded into policy rather than maintained manually. New fields and tables are covered as they appear. And provisioning times drop from days to minutes, with storage footprints up to 99% smaller than those of full-database copy approaches.
Compliance is encoded into policy rather than maintained manually. New fields and tables are covered as they appear. And provisioning times drop from days to minutes, with storage footprints up to 99% smaller than those of full-database copy approaches.
Compliance is encoded into policy rather than maintained manually.
New fields and tables are covered as they appear.
Provisioning times drop from days to minutes, with storage footprints up to 99% smaller than those of full-database copy approaches.
One platform, every system
SAP, Oracle, Salesforce, and custom databases: Synthesized offers consistent, time-accurate data across all of them simultaneously. Cross-system processes like Order-to-Cash and Procure-to-Pay run against data that stays consistent across every system involved.
