# Best Data Masking Tools - Page 4 *By [Lauren Worth](https://research.g2.com/insights/author/lauren-worth)* Data masking software protects an organization’s important data by disguising it with random characters or other data so that it is still usable by the organization but not outside forces. To qualify for inclusion in the Data Masking category, a product must: - Encrypt data by masking it behind random characters or other data - Allow the application and removal of a mask at will - Provide consistent or random masking ## How Many Data Masking Software Products Does G2 Track? **Total Products under this Category:** 92 ### Category Stats (Jun 2026) - **Average Rating**: 4.37/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: K2View (+0.22%) - Among all products in this category, K2View recorded the largest rating increase compared to last month *Last updated: June 26, 2026* ## How Does G2 Rank Data Masking Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 4,800+ Authentic Reviews - 92+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Data Masking Software Is Best for Your Use Case? - **Leader:** [Agentforce 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews) - **Highest Performer:** [K2View](https://www.g2.com/products/k2view/reviews) - **Easiest to Use:** [VGS Platform](https://www.g2.com/products/very-good-security-vgs-platform/reviews) - **Top Trending:** [Clonetab](https://www.g2.com/products/clonetab/reviews) - **Best Free Software:** [VGS Platform](https://www.g2.com/products/very-good-security-vgs-platform/reviews) --- **Sponsored** ### Prisma Browser for Business Prisma Browser for Business is a secure web browser tailored for small businesses, integrating advanced security features directly into the browsing experience. Built on the Chromium platform, it offers a familiar interface while providing enterprise-grade protection against online threats such as phishing, ransomware, and data breaches. This solution enables teams to work seamlessly across various applications and AI tools, ensuring data security without the need for a dedicated IT team. Key Features and Functionality: - Proactive Threat Protection: Utilizes AI-powered threat scanning to detect and block phishing attempts, malware, and other cyber threats in real-time. - Data Loss Prevention: Implements controls to prevent accidental sharing of sensitive information, such as disabling copy/paste and file uploads to unauthorized platforms. - AI Interaction Management: Monitors and regulates AI tool usage to prevent unintended actions and data leaks, ensuring that business information remains secure. - User-Friendly Deployment: Offers a straightforward setup process with pre-configured security settings, allowing businesses to protect their teams without technical expertise. Primary Value and Problem Solved: Prisma Browser for Business addresses the critical need for robust cybersecurity in small businesses, which are increasingly targeted by sophisticated cyberattacks. By embedding security directly into the browser, it safeguards the primary workspace where employees spend the majority of their time. This solution not only protects against external threats but also mitigates risks associated with accidental data exposure through AI tools and other online platforms. By providing an easy-to-use, comprehensive security solution, Prisma Browser for Business empowers small businesses to focus on growth and productivity without compromising on security. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1495&secure%5Bdisplayable_resource_id%5D=1495&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1495&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1806417&secure%5Bresource_id%5D=1495&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-masking&secure%5Btoken%5D=8f83bdb72291a1bb5d3fb4bcf5e57b71956813dcf232f570286135d1347aad73&secure%5Burl%5D=https%3A%2F%2Fwww.paloaltonetworks.com%2Fprisma-browser-for-business%3Futm_source%3Ddv360-panw_inhouse-amer-sase-smco-sfow%26utm_medium%3Ddisplay%26utm_campaign%3Dg2-sase-prisma_browser_smb-amer-us-awareness-en-native-cat_com%26utm_content%3D701Ki000000p2UKIAY&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Data Masking Software Products in 2026? ### 1. [K2view Enterprise Data Masking](https://www.g2.com/products/k2view-enterprise-data-masking/reviews) K2view Data Masking is a data protection solution that enables organizations to anonymize sensitive data while preserving its structure, relationships, and usability for testing, analytics, and data sharing. It discovers and classifies sensitive data across enterprise systems and applies consistent masking techniques to ensure compliance with data privacy regulations.z The platform uses an entity-based approach to masking, organizing data around business entities such as customers, accounts, or orders. This ensures that masking is applied consistently across all related data elements, maintaining referential integrity and contextual accuracy across multiple systems. Masking can be performed both in flight and at rest, supporting a wide range of operational and analytical use cases. K2view centralizes masking policies, allowing organizations to define rules once and enforce them across all data sources and environments. It supports structured and unstructured data, including databases, files, and documents, and integrates with enterprise data pipelines for automated and scalable execution. Synthetic data generation capabilities are also available to complement masking in scenarios where fully artificial datasets are required. Key capabilities include: • Automated discovery and classification of sensitive data across systems • Consistent masking at the business-entity level to preserve relationships and context • Support for masking structured and unstructured data across diverse sources • Centralized policy management with enforcement across environments • Integration with data pipelines and support for in-flight and static masking **Who Is the Company Behind K2view Enterprise Data Masking?** - **Seller:** [K2View](https://www.g2.com/sellers/k2view) - **Year Founded:** 2009 - **HQ Location:** Dallas, TX - **Twitter:** @K2View (142 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1012853 (192 employees on LinkedIn®) ### 2. [Masker](https://www.g2.com/products/masker/reviews) Masker uses AI to automatically identify personal data and replace sensitive information using different Anonymization techniques. In addition, it is multilingual. **Who Is the Company Behind Masker?** - **Seller:** [PANGEANIC BI EUROPA](https://www.g2.com/sellers/pangeanic-bi-europa) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 3. [Maya Data Masking](https://www.g2.com/products/maya-data-masking/reviews) Maya Data Masking is a software solution designed to protect sensitive data and support compliance with privacy regulations such as GDPR, KVKK, HIPAA, and CCPA. It provides tools for data discovery, static masking, dynamic masking, and unstructured data discovery on file systems. Maya helps organizations secure sensitive information throughout the data lifecycle. The software is compatible with various databases and operating systems, enabling integration into diverse IT environments. Its design prioritizes ease of installation and user-friendly operation, making it suitable for complex enterprise settings. **Who Is the Company Behind Maya Data Masking?** - **Seller:** [Mayatech](https://www.g2.com/sellers/mayatech) - **Year Founded:** 2009 - **HQ Location:** Üsküdar, İstanbul, TR - **Twitter:** @mayatech - **LinkedIn® Page:** https://www.linkedin.com/company/maya-information-technolojies/ (6 employees on LinkedIn®) ### 4. [NextLabs Data Access Enforcer](https://www.g2.com/products/nextlabs-data-access-enforcer/reviews) NextLabs' Data Access Enforcer is a comprehensive data security solution designed to protect sensitive information by enforcing dynamic, attribute-based access controls across various applications and databases. By implementing Zero Trust principles, DAE ensures that data access is granted strictly on a need-to-know basis, regardless of how or where the data is accessed. This approach enhances data privacy, streamlines compliance with regulations such as GDPR, ITAR/EAR, and SOX, and reduces the need for custom code, thereby lowering security and compliance management costs. Key Features and Functionality: - Attribute-Based Security: DAE evaluates user attributes—including location, department, and project assignment—to dynamically enforce fine-grained access policies at runtime. - Field-Level Dynamic Data Masking: Sensitive data fields are masked in real-time based on user permissions, ensuring that unauthorized users cannot view protected information. - Record-Level Data Segregation and Filtering: DAE segregates data dynamically, allowing users to access only the records they are authorized to see, based on defined policies. - Granular Enforcement of Data Manipulation Language Actions: The solution controls database operations such as create, read, update, and delete, ensuring that users can perform only the actions they are permitted to. - Centralized Policy Management: DAE offers a centralized platform for managing access policies, simplifying administration and ensuring consistent enforcement across the enterprise. - Seamless Integration: With out-of-the-box support for over 100 enterprise applications and databases, DAE integrates without the need for custom coding, facilitating rapid deployment and minimal disruption to existing systems. Primary Value and Problem Solved: DAE addresses the critical challenge of safeguarding sensitive data in complex, multi-application environments. By enforcing dynamic, attribute-based access controls, it ensures that only authorized users can access or manipulate data, thereby preventing unauthorized disclosure and data breaches. This not only enhances data security but also aids organizations in achieving compliance with stringent regulatory requirements. Furthermore, DAE's no-code integration and centralized policy management reduce the complexity and cost associated with traditional security implementations, offering a scalable and efficient solution for modern enterprises. **Who Is the Company Behind NextLabs Data Access Enforcer?** - **Seller:** [NextLabs](https://www.g2.com/sellers/nextlabs) - **Year Founded:** 2004 - **HQ Location:** San Mateo, US - **Twitter:** @nextlabs (402 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/nextlabs (190 employees on LinkedIn®) ### 5. [Objective Redact](https://www.g2.com/products/objective-redact/reviews) Protect yourself and your organisation from accidental disclosure. **Who Is the Company Behind Objective Redact?** - **Seller:** [Objective Gov365](https://www.g2.com/sellers/objective-gov365) - **Year Founded:** 1987 - **HQ Location:** North Sydney, New South Wales, Australia - **LinkedIn® Page:** https://www.linkedin.com/company/objective-corporation (497 employees on LinkedIn®) ### 6. [Object Sync for Hybrid SAP® SuccesssFactors®](https://www.g2.com/products/object-sync-for-hybrid-sap-successsfactors/reviews) Object Sync for Hybrid SAP® SuccessFactors® is a specialized tool designed to facilitate seamless synchronization of configuration artifacts, foundational data, and settings between different SAP SuccessFactors instances. This solution is particularly beneficial for organizations operating in hybrid environments, ensuring consistency and accuracy across development, quality assurance, and production systems. Key Features and Functionality: - Comprehensive Synchronization: Supports both one-way and two-way synchronization, allowing for flexible data movement between instances. - Artifact-Level Permission Control: Enables precise control over which configuration artifacts and data are synchronized, enhancing security and compliance. - Multi-Target Synchronization: Allows synchronization from a single source to multiple target instances, streamlining the management of complex system landscapes. - Cross-Datacenter Synchronization: Facilitates synchronization across different datacenters, ensuring global consistency. - User-Friendly Interface: Provides a guided UI with step-by-step instructions, making it accessible for business users with minimal training. - Test Mode Functionality: Offers the ability to run synchronization in test mode, identifying potential errors before actual synchronization, thereby reducing risks. - Audit Logging: Maintains detailed logs of synchronization activities, including user actions, timestamps, and error codes, supporting compliance and troubleshooting. Primary Value and Problem Solved: Object Sync for Hybrid SAP® SuccessFactors® addresses the challenges of maintaining consistent configurations and data across multiple SAP SuccessFactors instances in hybrid environments. By automating the synchronization process, it significantly reduces manual effort, minimizes errors, and accelerates deployment cycles. This ensures that all instances are aligned, leading to improved system reliability, enhanced compliance, and more efficient operations. **Who Is the Company Behind Object Sync for Hybrid SAP® SuccesssFactors®?** - **Seller:** [EPI-USE Labs](https://www.g2.com/sellers/epi-use-labs) - **Year Founded:** 1983 - **HQ Location:** Manchester, GB - **Twitter:** @EPIUSELabs (1,037 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2262920 (407 employees on LinkedIn®) ### 7. [PHEMI Health DataLab](https://www.g2.com/products/phemi-health-datalab/reviews) The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. Built on privacy-by-design principles, the software gives researchers, scientists, and clinicians faster access to more information while ensuring that they only see data on a need-to-know basis. Responsible data sharing and a governance framework facilitate compliance with privacy regulations. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools. For more information, visit https://www.phemi.com/ and follow us on Twitter @PHEMISystems, Linkedin, Youtube, and Facebook **Average Rating:** 3.9/5.0 **Total Reviews:** 6 **How Do G2 Users Rate PHEMI Health DataLab?** - **Ease of Admin:** 6.7/10 (Category avg: 8.6/10) **Who Is the Company Behind PHEMI Health DataLab?** - **Seller:** [PHEMI Systems](https://www.g2.com/sellers/phemi-systems) - **Year Founded:** 2013 - **HQ Location:** Vancouver, CA - **Twitter:** @PHEMIsystems (744 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3561810 (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Enterprise #### What Are Recent G2 Reviews of PHEMI Health DataLab? **"[Trustworthy datalab](https://www.g2.com/survey_responses/phemi-health-datalab-review-7866495)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/phemi-health-datalab-review-7866495) --- **"[Great!](https://www.g2.com/survey_responses/phemi-health-datalab-review-6670863)"** **Rating:** 5.0/5.0 stars *— Danielle H.* [Read full review](https://www.g2.com/survey_responses/phemi-health-datalab-review-6670863) --- #### What Are G2 Users Discussing About PHEMI Health DataLab? - [What is PHEMI Health DataLab used for?](https://www.g2.com/discussions/what-is-phemi-health-datalab-used-for) ### 8. [PK Protect Data Store Manager](https://www.g2.com/products/pk-protect-data-store-manager-2026-05-25/reviews) Most organizations have a reasonable handle on what data lives on their endpoints. The real problem is everything else: the databases, data lakes, cloud repositories, packaged applications, and ERPs holding petabytes of sensitive data that nobody has fully mapped, let alone protected. That's the problem PK Protect Data Store Manager (DSM) was built to solve. DSM automatically discovers and protects sensitive data across your entire backend data infrastructure, structured, semi-structured, and unstructured, without requiring manual intervention or relying on individual teams to know where everything is. Once data is found, policy-driven protections are applied automatically: masking, tokenization, encryption, redaction, quarantine, or deletion. What it does: DSM scans and protects petabytes of data across on-premises, hybrid, and cloud environments. It supports the broadest range of platforms in the industry including Oracle, SQL Server, PostgreSQL, DB2, Hadoop, AWS, Azure, Snowflake, Salesforce, and more. It also surfaces shadow data, the untracked, forgotten data sitting in corners of your environment that traditional tools miss entirely. Who it's built for: Data security, compliance, and privacy teams in regulated industries managing large, distributed data environments who need consistent protection across every data store, not just the ones they already know about. Where it stands out: DSM keeps data usable while keeping it secure. That means masked data remains available for development, testing, AI training, and analytics without exposing the underlying sensitive values. More than thirty masking options give teams the flexibility to match protection to use case without breaking downstream workflows. Compliance support: DSM meets requirements for PCI DSS, HIPAA, GDPR, CCPA, GLBA, SOX, FISMA, and more, with automated policy enforcement and audit-ready reporting built in. One top U.S. bank relies on DSM to protect sensitive data across 400 applications and 18,000 databases containing nearly a million tables. **Who Is the Company Behind PK Protect Data Store Manager?** - **Seller:** [PKWARE](https://www.g2.com/sellers/pkware) - **Year Founded:** 1986 - **HQ Location:** Milwaukee, WI - **Twitter:** @PKWARE (1,122 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/23724 (158 employees on LinkedIn®) ### 9. [Privitar Data Privacy Platform](https://www.g2.com/products/privitar-data-privacy-platform/reviews) At Privitar, we are all about helping our clients maximize their innovation capabilities through the use of safe data for analytics. Privitar has been helping customers around the globe increase their ability to leverage their sensitive data across broader ecosystems by addressing gaps in their privacy strategies. We complement existing security solutions by providing you the control to allow you the freedom to use your sensitive data responsibly and ethically to help you drive deeper insight into your business. Our mission is to help clients realize their innovation potential by allowing them to safely use their sensitive data with maximum utility and privacy retention. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Privitar Data Privacy Platform?** - **Seller:** [Privitar](https://www.g2.com/sellers/privitar) - **HQ Location:** Redwood City, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/informatica (5,355 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Privitar Data Privacy Platform? **"[Privitar - Best for Data Privacy](https://www.g2.com/survey_responses/privitar-data-privacy-platform-review-5068308)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/privitar-data-privacy-platform-review-5068308) --- #### What Are G2 Users Discussing About Privitar Data Privacy Platform? - [What is Privitar Data Privacy Platform used for?](https://www.g2.com/discussions/what-is-privitar-data-privacy-platform-used-for) ### 10. [Protecto](https://www.g2.com/products/protecto/reviews) Protecto, a data security and privacy platform focused on protecting sensitive information in AI/LLM products. Protecto's APIs scan and mask sensitive data such as PII and PHI in structured and unstructured data, without affecting AI accuracy. The platform uses Intelligent Tokenization to replace sensitive info with machine-readable tokens. This preserves data utility and ensures AI models work optimally. Protecto ensures quick compliance with HIPAA, GDPR, and CCPA. It offers role-based access control and handles both real-time and bulk processing. This makes it suitable for large-scale data management. Trusted in healthcare and banking, Protecto enables safe AI use while protecting critical data. **Who Is the Company Behind Protecto?** - **Seller:** [Protecto](https://www.g2.com/sellers/protecto) - **Year Founded:** 2021 - **HQ Location:** Cupertino, US - **Twitter:** @ProtectoAi (125 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/protectoai/ (33 employees on LinkedIn®) ### 11. [PVML](https://www.g2.com/products/pvml/reviews) PVML is an integrated data access management platform designed to centralize and secure access to multiple data sources without the need to move or duplicate data. By connecting various databases, PVML provides a collaborative workspace that ensures efficient, flexible, and secure data handling. **Who Is the Company Behind PVML?** - **Seller:** [PVML](https://www.g2.com/sellers/pvml) - **Year Founded:** 2021 - **HQ Location:** Tel Aviv-Yafo, IL - **LinkedIn® Page:** https://www.linkedin.com/company/pvml (18 employees on LinkedIn®) ### 12. [Randtronics DPM easyData](https://www.g2.com/products/randtronics-dpm-easydata/reviews) DPM Token Manager is a high performance tokenization engine and web front end console. **Who Is the Company Behind Randtronics DPM easyData?** - **Seller:** [Randtronics](https://www.g2.com/sellers/randtronics) - **Year Founded:** 2002 - **HQ Location:** North Ryde, AU - **Twitter:** @Randtronics (78 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/randtronics-pty-ltd (12 employees on LinkedIn®) ### 13. [Rectify](https://www.g2.com/products/rectify/reviews) Rectify leverages privacy-enabled artificial intelligence™ to automate the removal of private information when data sharing occurs. We help organizations decrease the human involvement required to identify and remove consumer identities, trade secrets, IP and other private data in data sets that are being sent to third parties. **Who Is the Company Behind Rectify?** - **Seller:** [Rectify](https://www.g2.com/sellers/rectify) - **HQ Location:** Austin, US - **LinkedIn® Page:** https://www.linkedin.com/company/rectifydata (18 employees on LinkedIn®) ### 14. [Soflab G.A.L.L.](https://www.g2.com/products/soflab-g-a-l-l/reviews) The Soflab G.A.L.L. application is designed to anonymize sensitive data in non-production environments, enabling the generation of high-quality synthetic data that remains consistent with real data and supports reliable testing. At the same time, it ensures full protection of sensitive information, effectively preventing data leaks. https://soflab.pl/en/data-anonymization-soflab-gall/ - Anonymize test data – ensure GDPR compliance without the risk of penalties during ERP migration - Identify and anonymize sensitive data in databases – full GDPR compliance during audits - Create realistic test data automatically – faster than scripts - Golden record for vendors – anonymized data with full validation - Prepare data for e-discovery – anonymized and audit-ready. One of the modules helps businesses locate sensitive data—such as personally identifiable information (PII), protected health information (PHI), payment card industry (PCI) data, intellectual property (IP), and other important business data—stored across multiple company systems including databases and applications, as well as on user endpoints. Monitor data stores in real time to search for newly created sensitive data Offer contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata It is a perfect tool for Sensitive Data Discovery as also for Data Masking. **Who Is the Company Behind Soflab G.A.L.L.?** - **Seller:** [Soflab Technology](https://www.g2.com/sellers/soflab-technology) - **Year Founded:** 2008 - **HQ Location:** Katowice, PL - **LinkedIn® Page:** https://www.linkedin.com/company/soflab-technology-sp--z-o-o-/ (140 employees on LinkedIn®) ### 15. [WinDocks](https://www.g2.com/products/windocks/reviews) Windocks breaks the enterprise data bottleneck with a range of capabilities including database virtualization, Windows SQL Server Docker containers, synthetic data based masking, database subsetting, and unique code-free and platform native feature data, and single source of truth. Windocks has been trusted by enterprises around the world since 2015, including Novartis, American Family Insurance, DoubleLine, and many more. Windocks software is an affordable solution for small enterprises, as well as departmerns and divisions in a large organization. **Average Rating:** 5.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate WinDocks?** - **Ease of Admin:** 10.0/10 (Category avg: 8.6/10) **Who Is the Company Behind WinDocks?** - **Seller:** [Windocks](https://www.g2.com/sellers/windocks) - **Year Founded:** 2015 - **HQ Location:** Bellevue, US - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (10 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Enterprise, 33% Mid-Market #### What Are WinDocks's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Features (1 reviews) - Integrations (1 reviews) - Performance (1 reviews) ### What Do G2 Reviewers Say About WinDocks? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **responsive customer support** of WinDocks, appreciating tailored integrations and prompt assistance. - Users highlight the **flexibility and responsive support** of WinDocks, enhancing their CI/CD processes with custom integrations. - Users value the **custom integrations** offered by WinDocks, enhancing flexibility and responsiveness to specific organizational needs. - Users commend the **performance** of WinDocks, rapidly provisioning isolated SQL Server environments with exceptional support and flexibility. #### What Are Recent G2 Reviews of WinDocks? **"[Great tech forward product!](https://www.g2.com/survey_responses/windocks-review-11215436)"** **Rating:** 5.0/5.0 stars *— Dan P.* [Read full review](https://www.g2.com/survey_responses/windocks-review-11215436) --- **"[Computer in computer](https://www.g2.com/survey_responses/windocks-review-1647241)"** **Rating:** 5.0/5.0 stars *— Pradeep S.* [Read full review](https://www.g2.com/survey_responses/windocks-review-1647241) --- ### 16. [Xafe](https://www.g2.com/products/xafe/reviews) Xafe Cognitive Privacy Platform ensures datum within a dataset remains private and secure by combining Privacy Enhancing Technologies including Differential Privacy & Confidential Computing, allowing businesses to share and exchange data without compromising personal information. **Who Is the Company Behind Xafe?** - **Seller:** [xafe.ai](https://www.g2.com/sellers/xafe-ai) - **Year Founded:** 2024 - **HQ Location:** Hallandale Beach, US - **LinkedIn® Page:** https://www.linkedin.com/company/xafe/ (15 employees on LinkedIn®) ### 17. [XDM Data Orchestration Platform](https://www.g2.com/products/xdm-data-orchestration-platform/reviews) UBS Hainer has been in the Data Orchestration space since 1997, helping clients to migrate data and to make it available to their QA, engineering and analytics teams, in the mainframe as well as the distributed world. Data accessibility is an increasingly important bottleneck as development teams speed up with the help of AI tools. QA, model training as well as analytics cannot be done without high-fidelity, real world data. Access is often restricted due to privacy and security regulations, especially in highly regulated fields such as banking, insurance and healthcare. Our XDM Data Orchestration Platform makes masked production data available to testers, ML engineers and automation engineers, bridging data availability bottlenecks without sacrificing compliance by exposing sensitive PII / PHI. Where no production data is available, it can generate synthetic data using AI. Fully automate your data distribution or have data consumers "order" referencially intact data on demand in business terms from a web GUI, without needing to know specifics about how data is stored and related across different sources. XDM can copy and subset data from a wide range of database and cloud storage technologies. Sophisticated and highly-customizable masking algorithms and the PII-finder tool ensure no sensitive information is distributed to test / training environments. XDM is distributed as a set of docker / OCI images, can run on premise or in the cloud. A REST API gives operators full control over functionalities and facilitates integration into existing CI/CD pipelines. Don't hesitate to reach out at ubs-hainer.com or LinkedIn! **Who Is the Company Behind XDM Data Orchestration Platform?** - **Seller:** [UBS Hainer](https://www.g2.com/sellers/ubs-hainer) - **Year Founded:** 1997 - **HQ Location:** Lauterbach, DE - **LinkedIn® Page:** https://www.linkedin.com/company/ubs-hainer-gmbh/ (31 employees on LinkedIn®) ## What Is Data Masking Software? [Data Security Software](https://www.g2.com/categories/data-security) ## What Software Categories Are Similar to Data Masking Software? - [Database Security Software](https://www.g2.com/categories/database-security) - [Data De-Identification Tools](https://www.g2.com/categories/data-de-identification) - [Sensitive Data Discovery Software](https://www.g2.com/categories/sensitive-data-discovery) --- ## How Do You Choose the Right Data Masking Software? ### What You Should Know About Data Masking Software ### What is Data Masking Software? Data masking is a technique used by organizations to protect sensitive data from unintended exposure. Data masking is also sometimes referred to as data obfuscation. There are a number of masking techniques, including data substitution, data shuffling, translating numbers into number ranges, nulling or deletion, character scrambling, and more. Companies use data masking software to shield sensitive data such as personally identifiable information (PII) or sensitive customer information while maintaining the data’s functional value.  Data masking software ensures that unauthorized people do not have visibility into real, sensitive data records by masking the data. Companies commonly utilize data masking to limit the sensitive data visible to their employees. This protects against both employee mistakes in handling sensitive data and malicious insider threat actors seeking to steal sensitive information. For example, credit card numbers in a database can be redacted or replaced with false data in a billing software application so that the real numbers are not exposed and visible to frontline employees. A masked credit card number would be structurally similar and maintain the sixteen-digit credit card number format of "xxxx-xxxx-xxxx-xxxx" that the company’s billing software application expects this data to be in, while not providing the actual credit card number.  A common use case for data masking is providing non-production but realistic data for software development and testing. Applications must be developed and tested using real data to ensure the software meets the company or customer’s needs, but providing sensitive data to a development team exposes the data to people who don’t need to be authorized to view it. For example, if an educational software company is developing a solution to manage student testing data, having specific individuals’ testing information like real names, addresses, test scores, academic grades, and so on is not necessary to develop the tool. Having data based on real data but scrambled or obfuscated is sufficient to test the software. As long as the data is functionally correct, the software developers don’t need to know the precise, sensitive data to develop and test the software solution.  Data masking is most often for non-production purposes like software development and testing mentioned above, but it can also be used in production environments to control which users have access to sensitive information. For example, employees in a call center may need to look up a customer’s account information in a CRM software to process a payment but do not need access to the customer’s exact payment details like bank account and routing numbers to complete the transaction. The company must retain the actual bank account information to process the transaction, but this sensitive information does not need to be visible to the call center employee, so the company masks that data for the call center employee in their call center software application. Other use cases for using masked data include: - Sales demonstrations of software programs - User training modules - Sandbox experiments ### What Types of Data Masking Software Exist? **Static data masking** Static data masking solutions allow sensitive datasets to be masked while the data is at rest. This usually entails a complete copy of a masked dataset. Most commonly, this is used for non-production use cases like providing datasets for software development and testing purposes. **Dynamic data masking** Dynamic data masking solutions allow sensitive data to be masked while the data is in use, and the masking can be based on the attributes of the person viewing it. Most commonly, this is used for in-production use cases. For example, frontline employees or employees in a specific geographic area can view the sensitive dataset dynamically masked based on their role type in real time. This software can be particularly beneficial for customer service use cases. ### What are the Common Features of Data Masking Software? The following are some core features within data masking software that can help users achieve their business goals: **Performance with large datasets:** Data masking software must be able to meet the scale and speed of masking large datasets, whether the masking is performed on the database level itself, between application layers, or within the application itself. This is especially important for masking enterprise data and big datasets. **Preserving data characteristics:** Some applications expect data to be in a specific format, such as a 16-digit credit card number. For masked data to be utilized in the application, the masked data must also conform to these data characteristics like number length. **Deterministic masking:** Deterministic masking allows for the masked data to be consistently masked across multiple tables and applications. For example, if a data record has a first name of “Joan” then the masked name of “Claire” will appear consistently and uniformly across the masked dataset and applications it is used in. This is important especially for in-production customer service use cases where company employees interact with multiple applications like CRMs and billing applications to assist customers. Having consistently matching masked data in those disparate applications can aid in providing the best customer assistance. **Cloud-compatible data masking** : Today, many companies are shifting from on-premises data stores to the cloud and are utilizing infrastructure as a service, platform as a service, and software as a service tools. Many data masking tools offer solutions to protect data regardless of where it is used. ### What are the Benefits of Data Masking Software? **Reduce unintended data exposure:** The main purpose of using data masking software is to protect the data from unintended exposure while maintaining the data’s usability. Data masking software obfuscates the data for audiences that are not authorized to view the data.  **Improve access control to data** : Data masking software enables companies to only expose data on a need-to-know basis. Using dynamic data masking, in particular, can assist a company with enabling role-based data visibility. So a frontline worker may not be able to see specific customer data like their billing address or phone number within a CRM application, but their manager would have the authorization to do so. **Meet data protection compliance regulations** : Data protection regulations and data privacy laws require businesses to safeguard data such as personally identifiable information. Data masking is a technique used to limit unintended data exposure and meet data protection by design and default requirements. Data masking can assist in meeting industry or governmental regulations such as GDPR, PCI DSS, or HIPAA. ### Who Uses Data Masking Software? **InfoSec and IT professionals** : Information security (InfoSec) and IT professionals implement and manage data masking tools to achieve their company’s data security, data privacy, and data usage goals. **Software developers** : Software developers are the end users of data masked using data masking software. Using masked data allows software developers to use test data based on real data but without the risk of using plain text. **Frontline employees** : Frontline and other employees use masked data in their day-to-day interactions in the business applications necessary to complete their work. Having masked data in their applications protects them from accidentally viewing, sharing, or using data they are not authorized to use. ### What are the Alternatives to Data Masking Software? Alternatives to data masking software can replace this type of software, either partially or completely: [Data de-identification and pseudonymity software](https://www.g2.com/categories/data-de-identification-and-pseudonymity): De-identification and pseudonymity software is similar to data masking software in that it focuses on anonymization by replacing real data with artificial data. However, the difference shows in the end states; data masking obfuscates the data while retaining the original data, while de-identified data is not masked but de-identified through pseudonymization to prevent re-identification. [Synthetic data software](https://www.g2.com/categories/synthetic-data): Synthetic data software helps companies create artificial datasets, including images, text, and other data from scratch using computer-generated imagery (CGI), generative neural networks (GANs), and heuristics. Synthetic data is most commonly used for testing and training machine learning models. [Encryption software](https://www.g2.com/categories/encryption) **:** Encryption software protects data by converting plaintext into scrambled letters known as ciphertext, which can only be decrypted using the appropriate encryption key. Most commonly, encrypted data cannot be used within applications and must first be decrypted prior to use within applications (with some exceptions with homomorphic encryption techniques).  #### Software Related to Data Masking Software Related solutions that can be used together with data masking software include: [Sensitive data discovery software](https://www.g2.com/categories/sensitive-data-discovery): To determine what data to protect using data masking software, companies must first identify their sensitive data. Companies can use sensitive data discovery software to assist in and automate that process. These solutions search structured, unstructured, and semi-structured data stored in on-premises databases, cloud, email servers, websites, applications, etc. ### Challenges with Data Masking Software Software solutions can come with their own set of challenges.  **Sensitive data discovery** : To protect data using data masking techniques, the data a company wants to protect must first be identified. The type of data that companies seek to mask can include personally identifiable information (PII), protected health information (PHI), payment card industry (PCI) data, intellectual property (IP), and other important business data. Often, this data is stored across multiple company systems, including databases, applications, and user endpoints.  **Defining role-based-access policies:** Using dynamic masking that modifies what data is masked or visible based on a viewer’s role type requires those roles to be defined by company policy. This requires companies to invest in defining those roles for the data masking software to be effective. **Re-identification:** A common concern of using masked data is the risk of it being re-identified using other context clues resulting in a data breach. This could be by combining the data with other datasets to re-identify it or simply by not masking enough data. For example, in a CRM system, if a customer’s first and last name is redacted, but not their email address, which is often a person’s first and last name, it can be easy to infer who the customer is. ### How to Buy Data Masking Software #### Requirements Gathering (RFI/RFP) for Data Masking Software Users must determine their specific needs to prepare for data masking. They can answer the questions below to get a better understanding: - What is the business purpose?  - Does the user need static data masking solutions, or do they need dynamic data masking solutions? - What kind of data is the user trying to mask?  - Is it financial information, classified information, proprietary business information, personally identifiable information, or other sensitive data? - Have they identified where those sensitive data stores are--on-premises or in the cloud? - What specific software applications is that data used in?  - What APIs do they need?  - Who within the company should have the authorization to view sensitive data, and who should be served masked data?  #### Compare Data Masking Software Products **Create a long list** Buyers can visit g2.com’s[](https://www.g2.com/categories/data-masking)[Data Masking Software](https://www.g2.com/categories/data-masking) category, read reviews about data masking products, and determine which products fit their businesses’ specific needs. They can then create a list of products that match those needs. **Create a short list** After creating a long list, buyers can review their choices and eliminate some products to create a shorter, more precise list. **Conduct demos** Once a user has narrowed down their software search, they can connect with the vendor to view demonstrations of the software product and how it relates to their company’s specific use cases. They can ask about the masking methods--from substitution to shuffling and more, and where their solution sits--at the database level, between the application and the database, or within the application. Buyers can also ask about integrations with their existing tech stack, licensing methods, and pricing—whether fees are based on the number of projects, databases, executions, etc. #### Selection of Data Masking Software **Choose a selection team** Buyers must determine which team is responsible for implementing and managing this software. Often, that may be someone from the IT team and the InfoSec team. They should also include end users on their selection team, such as software developers or frontline employees. It is important to have a representative from the financial team on the selection committee to ensure the license is within budget.  **Negotiation** Buyers should get specific answers to the cost of the license and how it is priced, and if the data masking software is based on database size, features, or execution. They must keep in mind the company’s data masking needs for today and the future. **Final decision** The final decision will come down to whether the software solution meets the technical requirements, the usability, the implementation, other support, expected return on investment, and more. Ideally, the final decision will be made by the IT team in conjunction with InfoSec or data privacy teams, alongside input from other stakeholders like software development teams.