K2view named a Visionary in Gartner’s Magic Quadrant 🎉

Read More arrow--cta
Get Demo
Start Free
Start Free
New! 2025 State of Test Data Management Survey 📊
Get the Survey Results arrow--cta

Table of Contents

    Table of Contents

    Salesforce Data Masking: Why its Native Tools are NOT Enough

    Salesforce Data Masking: Why its Native Tools are NOT Enough
    7:24
    Amitai Richman

    Amitai Richman

    Product Marketing Director

    K2view makes Salesforce data masking enterprise-ready by expanding its PII protection from self-contained sandboxes to complete production environments. 

    Intro to data masking 

    Data masking protects sensitive information by replacing it with fake but realistic data. It’s a way for organizations to use real datasets for software development, analytics, or training – without putting personal or confidential information at risk.  

    For example, consider a development team that wants to test a new Salesforce workflow with actual customer records. With data masking, instead of showing real names or credit card numbers, those fields are replaced with made-up values that look real but don’t expose private information.

    Data masking also helps companies stay compliant with regulations like GDPR, CPRA, and HIPAA, which require strict controls over how personal data is handled.  

    How does Salesforce data masking work? 

    Salesforce Data Mask protects sensitive information in sandbox environments. It integrates directly into your Salesforce production environment and allows you to mask data when creating or refreshing sandboxes.

    Data Mask lets you choose from several basic data masking techniques for each field, such as: 

    • Substitution 

      Substitution replaces real data with fictional but lifelike values. For example, actual names can be replaced with random names from a predefined library.  

    • Shuffling 

      Shuffling rearranges data within a field to obscure the original values while maintaining a realistic distribution.  

    • Deletion 

      Deletion removes data entirely from selected fields, leaving them empty in the sandbox environment.  

    It's important to note that Salesforce Data Mask operates within sandbox environments only and does not address production data. Once data is masked in a sandbox, the process is irreversible, ensuring that the sensitive information is safeguarded during development and testing activities.

    Salesforce Data Mask vs Shield 

    While both products aim to protect sensitive information, Salesforce Data Mask and Shield serve different purposes and operate in different environments.

    Data Mask is designed for sandbox environments used for development and testing. It permanently replaces PII with anonymized data or randomized values, ensuring that real customer information isn't exposed in non-production settings. Once data is masked, the process is irreversible, providing a secure way to use realistic data scenarios without compromising privacy.  

    Shield, on the other hand, safeguards data at rest in production environments. It encrypts sensitive fields – like passport numbers or bank account details – using advanced encryption standards. Encryption ensures that even if data is accessed improperly, it remains unreadable. Although this method helps meet compliance requirements and protects data from illegal access, authorized users can still view and interact with the unencrypted data within Salesforce.  

    To summarize, Salesforce Data Mask ensures that sensitive information is anonymized in sandbox environments while Shield protects live production data by encrypting it. While businesses often use both tools to maintain comprehensive data security across their Salesforce ecosystems, even that’s not enough. 

    Key features and benefits of Salesforce data masking 

    Feature  Description  Benefit 
    Persistent data masking  Alters data in sandbox environments  Secures test data while maintaining referential integrity 
    Field-level control  Masks specific fields in Salesforce objects  Exerts granular control over sensitive data exposure 
    Prebuilt masking templates  Displays ready-to-use templates for common Salesforce fields  Accelerates implementation and ensures consistency 
    Customizable masking rules  Allows users to define custom rules per use case  Tailors masking strategies to business and compliance needs 
    Seamless integration  Embeds into the Salesforce ecosystem  Requires no external tooling 
    Compliance support  Meets data privacy regulations  Reduces risk of regulatory fines and breaches 

    Challenges with Salesforce data masking 

    Salesforce data masking is effective for protecting sandbox data, but can be challenging for the following reasons: 

    • No support for production environments 

      Salesforce Data Mask only works in sandboxes. It does not protect sensitive data in production, where most privacy risks exist. Teams that need real-time data anonymization for customer-facing or analytics systems must look elsewhere. 

    • No dynamic masking 

      Once data is masked in a sandbox, it stays that way. The tool doesn’t support dynamic data masking or policy-driven masking based on user roles or access levels – limiting its usefulness for scenarios that require real-time data protection. 

    • No contextual logic 

      Salesforce data masking obfuscates individual fields but can’t apply logic based on the context of the data. For example, it can’t mask data differently for VIP customers, high-risk transactions, or specific user groups. 

    • No coverage for external or integrated systems 

      Many organizations use Salesforce alongside other platforms like marketing clouds, ERP systems, data lakes, and more. Salesforce Data Mask has no visibility into these environments, which leaves a major gap in enterprise data protection. 

    • No centralized policy management 

      Although individual templates exist, manually setting up and maintaining masking rules across large and complex environments with Salesforce Data Mask can be tedious. There's no centralized way to define and enforce masking across multiple business units. 

    Salesforce data masking shines with K2view

    Salesforce Data Mask offers a foundational level of protection for sandbox data, but K2view Data Masking elevates it to enterprise level. 

    While Salesforce's native tool focuses on non-production environments, K2view Data Masking extends protection across both production and non-production settings. It ensures that sensitive data remains safe throughout its entire lifecycle, from development and testing to real-time user interactions.

    K2view employs a unique business entity approach that consistently masks all sensitive data related to a specific business entity – e.g., customers, invoices, or loans – across the Salesforce ecosystem, data warehouses, legacy platforms, and third-party applications. And K2view maintains referential integrity and contextual accuracy even after masking.

    K2view also allows data teams to define masking rules once, streamlining deployments, simplifying maintenance, and reducing operational overhead without compromising on security or compliance.

    For organizations that rely on Salesforce, K2view Data Masking isn’t just an enhancement, it’s a strategic upgrade. K2view overcomes the limitations of Salesforce by: 

    • Protecting data in production 

    • Masking data dynamically and enforcing rule-based access 

    • Contextualizing masking policies 

    • Integrating seamlessly with external environments 

    • Centralizing data masking management 

    K2view empowers Salesforce data masking to scale seamlessly across the enterprise and deliver inflight data protection that modern businesses demand. 

    Discover how K2view Data Masking tools  

    make Salesforce Data Mask enterprise-ready. 

    Achieve better business outcomeswith the K2view Data Product Platform

    Solution Overview

    Discover the #1
    data masking tool

    Built for enterprise landscapes

    Solution Overview