ServiceNow testing with production‑like test data

ServiceNow is the backbone of ITSM, HR, and workflow automation for enterprises in banking, healthcare, government, manufacturing, and beyond. But frequent updates, customizations, and integrations make thorough testing a challenge—risking service disruptions and costly delays. Synthesized delivers secure, production-like test data at scale, so ServiceNow teams can accelerate upgrades, validate integrations, and ensure every release is reliable.

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Challenges and how Synthesized solves them

Frequent updates and configuration changes

ServiceNow’s regular releases and ongoing configuration changes require rapid, thorough regression testing. Synthesized automates compliant data provisioning for every test cycle, enabling teams to keep pace with ServiceNow’s update cadence.

Manual workflow and integration testing is slow

Testing complex workflows and integrations across ITSM, HR, GRC, CSM, and custom apps is time-consuming and error-prone. Synthesized delivers scenario-rich, production-like datasets that streamline validation and reduce manual effort.

Environment sprawl and data drift

Multiple test environments and distributed teams create inconsistencies and duplicated effort. Synthesized standardizes data provisioning with reusable workflows and on-demand refreshes, improving test repeatability and reducing costs.

Compliance and data privacy requirements

Sensitive business and employee data must be protected to meet GDPR, SOX, and ISO 27001 expectations. Synthesized applies automated masking and policy-driven controls, enabling safe, governed access to test data.

Test case maintenance drains resources

Manually updating and refreshing test data for new workflows and integrations consumes valuable resources. Synthesized automates data refreshes and maintains consistency, freeing teams to focus on strategic projects.

Manual QA

Manual testing eats up 30% of overall development efforts

Manual, fragmented QA processes force engineering teams to spend valuable time on repetitive tasks—slowing down release cycles and increasing the risk of human error. As software complexity grows, traditional testing methods simply can’t keep pace, leaving organizations exposed to bugs, delays, and mounting technical debt.
Data compliance risks

With regulations changing yearly, fines are no longer an “if” but a “when”

Data privacy and residency requirements are evolving faster than most teams can adapt. Manual compliance checks and legacy test data management tools create bottlenecks, increase the risk of violations, and make it nearly impossible to ensure every release meets global standards—putting your business at risk of costly fines and reputational damage.
High costs

The cost of releasing quality software has never been higher

Manual, fragmented QA processes force engineering teams to spend valuable time on repetitive tasks—slowing down release cycles and increasing the risk of human error. As software complexity grows, traditional testing methods simply can’t keep pace, leaving organizations exposed to bugs, delays, and mounting technical debt.
Why synthesized

Synthesized is built for ServiceNow

Accelerate ServiceNow upgrades and releases

Provision compliant, production-like data on demand to de-risk upgrades, integrations, and new workflow rollouts.

Improve regression testing for every release

Continuously feed test suites with realistic data via CI/CD-native workflows to catch issues before they reach production.

Reduce compliance risk by design

Apply automated masking, anonymization, and audit trails to meet GDPR, SOX, and internal control requirements.

Strengthen end-to-end workflow validation

Deliver consistent data across ServiceNow and connected applications to validate real business scenarios at scale.

Covering ServiceNow testing needs

High-fidelity data for ITSM, HR, GRC, CSM, and workflow modules

Generate realistic datasets tailored to your configurations and policies.

Integration and upgrade support

Standardize data across legacy and modern ServiceNow environments to validate integrations and process changes.

Cross-system workflow validation

Provision coherent data for ServiceNow plus adjacent systems (e.g., Salesforce, Oracle) to test end-to-end flows.

Performance and load-ready datasets

Create scaled, representative data volumes to evaluate performance and stability before peak events.
Partners & integrations

Built to work with your ecosystem

We understand that today’s production data pipelines and development environments are complex and dynamic. So while you can use Synthesized to generate production-like data for your specific POC, it also works with your specific technologies.
OracleJenkinsAWSWhereScapeGoogle BigQueryAmazon RedShiftMicrosoft AzureEC2MySQLCircleCIS3GitLabWindows ServerGitHub ActionsGoogle CloudBigIDMicrosoft SQL ServerIBM DB2MariaDBSalesforceSAP SybaseGoogle Cloud Storage
Generate

Data generation for any development and QA use-case

Streamline the database generation process, ensuring the availability of high-quality production-like data for testing while removing manual effort and accelerating development cycles.
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Mask

Reduce the risk with codified regulatory rules

Ensure regulatory compliance and reduce risk by encoding masking policies that protect sensitive data from breaches and legal liabilities.
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Mask
Subset

Access the right data, not all the data

Enable secure, role-specific data access, or create tailored subsets and selectively mask sensitive information to balance usability and protection.
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Subset

Talk to the team

Generate high-fidelity production-like databases for testing and development with only a prompt.
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