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Data Masking & Seeding Tools | Salesforce
Data Mask & Seed

Data Masking & Seeding Tools

Accelerate development while minimizing the risk of data leaks, breaches, and noncompliance fines. With Data Mask & Seed, teams can quickly seed realistic data into sandboxes without compromising security, as sensitive CRM data is automatically masked in all sandboxes. Data Mask & Seed enables teams to improve testing with production-like data, reduce data risk, and ensure compliance with regulations like GDPR, FINRA, and CCPA.

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What can you do with Data Masking & Seeding tools?

Data Mask allows you to customize how you mask any data containing personally identifiable information (PII), depending on the sensitivity of the information, helping you avoid costly data privacy compliance fines. Data Seeding enables you to quickly seed quality data into any sandbox for development, training, or testing purposes.

Develop faster with realistic, relevant data

Streamline data seeding with reusable templates

Create precise seed data sets with customizable Seed Templates that allow you to filter specific records and replicate data relationships from production. Repeatedly seed any sandbox with your Seed Template to ensure your sandboxes have relevant, up-to-date data, making your development process more efficient.

Schedule a mask or seeding job

Run a mask or seeding job on a daily, weekly, or monthly basis to incrementally seed and/or de-identify new data.

Streamline jobs and bypass automations

When provisioning sandboxes, seeding or masking jobs can trigger automations, causing bottlenecks. Data Mask & Seed bypasses automations making your data masking and seeding processes even more efficient.

Protect and de-identify data to stay compliant and reduce risk

Mask data based on privacy regulations

Obfuscate sensitive data to meet your specific needs and comply with privacy laws. Customize your data masking to suit the sensitivity of your data using options like anonymization, pseudonymization, pattern-matching, or deletion.

Identify and categorize data for regulatory compliance

Easily record data sensitivity and compliance categorizations for both standard and custom fields using the data classification tooltip, driving data privacy and regulatory compliance.

Apply uniform masking across data classification categories

Filter fields based on their assigned Data Classification to ensure that sensitive information, such as Personally Identifiable Information (PII), is properly de-sensitized across your sandbox environments. This enhances your data security and compliance, giving you greater confidence in managing PII.

Customize testing data to meet developer needs

Fine-tune your seed data

Customize your sandbox by adding new records, updating existing records, or replacing and adding new records. With various seeding methods, gain even more control and seed precise data to your sandboxes.

Maximize your Sandbox space

Seed data into Developer, Developer Pro, Partial, or Full Sandboxes while monitoring the seed data size. Preview a sample of records before seeding and adjust the data size to ensure it fits perfectly.

Mask data with greater flexibility

Create custom patterns by combining number ranges, custom lists, library options, or existing data. Tailor masking rules to modify partial values or append text to existing values. With enhanced customization, gain greater control and improve test accuracy before deployment.

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Extend the power of data masking with these related security tools.

Sandboxes

Plan, build, test, release, and observe new features 30% faster without affecting your live data.

Event Monitoring

Monitor business-critical data and enhance security while mitigating potential threats. Understand user adoption and optimize performance across your Salesforce apps.

Privacy Center

Simplify data management to reduce compliance costs and maintain trust. Streamline customer consent by offering intuitive, low-code forms for preference customization.

Shield

Get a real-time pulse on who has access to what Salesforce data and when, including any data changes made to your org. Encrypt data in transit and at rest and keep an audit trail.

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Data Masking & Seeding FAQ

What is Data Masking?

Data masking is a process that modifies sensitive data and renders it useless to any insider threats, malicious or human error. Your data remains usable to you and your company and can be transmitted between systems and used inside and outside your production environments. Data masking tools involves generating a realistic replica of your organizations data. The duplicated data becomes the viable alternative for development, testing, or training, by safeguarding the original data and ensuring teams have access to only what is necessary.

What is Data Seeding?

Data seeding involves populating a database or data environment with initial, realistic data to ensure that systems are ready for development, testing, or training right from the start.

Why are data masking tools important?

Data masking tools play a pivotal role in safeguarding sensitive information within databases. Data masking is a crucial requirement within various regulations like HIPAA, CCPA, and FINRA, safeguarding Personally Identifiable Information (PII) from exposure. Masked data upholds both its structural format and integrity. This approach allows developers and testers access to the data without any risk of exposure.

Why are data seeding tools important?

Data seeding tools are essential for creating realistic datasets that enable your teams to test real production scenarios during development, significantly reducing bugs and enhancing the efficiency of your development process. They also accelerate training and onboarding by refreshing sandboxes, allowing new users to quickly familiarize themselves with new functionalities and boosting overall CRM adoption. With data seeding, you can ensure a smoother, more effective rollout and a more engaged user base.

How do I choose the right data masking & seeding tools?

Identify a solution that allows you to easily configure masking or seeding capabilities to fit your organizations requirements. The tools should improve team efficiency, instead of adding more steps to your development process, while protecting the security of your data.


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