# Best Data De-Identification Tools - Page 2

*By [Brandon Summers-Miller](https://research.g2.com/insights/author/brandon-summers-miller)*


Data de-identification tools help companies derive value from their datasets without the risks of using personally identifiable information. Data de-identification software remove sensitive or personally identifying data—names, dates of birth, and other identifiers—in datasets in a way that is not re-identifiable. Data de-identification solutions help companies derive value from datasets without compromising the privacy of the data subjects in a given dataset. Data de-identification is essential for companies working with sensitive and highly-regulated data. Companies choose to de-identify their data to reduce their risk of holding personally identifiable information and comply with privacy and data protection laws such as HIPAA, CCPA, and GDPR.

Data de-identification solutions has some overlap with [data masking software](https://www.g2.com/categories/data-masking), or data obfuscation software. However, with data de-identification solutions, the risk of the data being reidentified is low. With data masking, sensitive data retains its actual identifying features like age range and zip code but masks (or redacts blanks or hashes) identifying information such as names, addresses, phone numbers, and other sensitive data. It is possible to remove the data mask and re-identify the data. Data masking is often used as a way for companies to maintain sensitive data while preventing misuse of that data by employees or insider threats.

To qualify for inclusion in the Data De-identification category, a product must:

- Remove sensitive or identifying information from data
- Prevent re-identification of data
- Meet de-identification requirements under data privacy or data protection laws






## How Many Data De-Identification Tools Products Does G2 Track?
**Total Products under this Category:** 97

### Category Stats (Jun 2026)
- **Average Rating**: 4.44/5 The average rating of products in this category, based on all submitted ratings

*Last updated: June 30, 2026*


## How Does G2 Rank Data De-Identification Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 800+ Authentic Reviews
- 97+ 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 De-Identification Tools Is Best for Your Use Case?

- **Leader:** [IBM InfoSphere Optim Data Privacy](https://www.g2.com/products/ibm-infosphere-optim-data-privacy/reviews)
- **Highest Performer:** [Tumult Analytics](https://www.g2.com/products/tumult-analytics/reviews)
- **Easiest to Use:** [VGS Platform](https://www.g2.com/products/very-good-security-vgs-platform/reviews)
- **Top Trending:** [Evervault](https://www.g2.com/products/evervault-2022-11-22/reviews)
- **Best Free Software:** [VGS Platform](https://www.g2.com/products/very-good-security-vgs-platform/reviews)


---

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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.



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---

## What Are the Top-Rated Data De-Identification Tools Products in 2026?
### 1. [Informatica Persistent Data Masking](https://www.g2.com/products/informatica-persistent-data-masking/reviews)
Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments.


**Average Rating:** 4.1/5.0
**Total Reviews:** 17
**How Do G2 Users Rate Informatica Persistent Data Masking?**

- **Ease of Use:** 8.6/10 (Category avg: 8.9/10)

**Who Is the Company Behind Informatica Persistent Data Masking?**

- **Seller:** [Informatica](https://www.g2.com/sellers/informatica)
- **Year Founded:** 1993
- **HQ Location:** Redwood City, CA
- **Twitter:** @Informatica (99,643 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,802 employees on LinkedIn®)
- **Ownership:** NYSE: INFA

**Who Uses This Product?**
- **Company Size:** 59% Enterprise, 29% Mid-Market



#### What Are Recent G2 Reviews of Informatica Persistent Data Masking?

**"[Easy and powerful Tool](https://www.g2.com/survey_responses/informatica-persistent-data-masking-review-8197430)"**

**Rating:** 4.5/5.0 stars
*— KONGKHAM MOMO S.*

[Read full review](https://www.g2.com/survey_responses/informatica-persistent-data-masking-review-8197430)

---

**"[A very good tool for Masking Sensitive data](https://www.g2.com/survey_responses/informatica-persistent-data-masking-review-7142873)"**

**Rating:** 4.0/5.0 stars
*— Chanakya K.*

[Read full review](https://www.g2.com/survey_responses/informatica-persistent-data-masking-review-7142873)

---



### 2. [Viacryp](https://www.g2.com/products/viacryp/reviews)
The heart of our basic service is the pseudonymisation of personal data. To do this, we make use of irreversible pseudonyms and make as little use of behavioural data as possible. The pseudonymised data can then be further analysed by our clients.


**Average Rating:** 4.6/5.0
**Total Reviews:** 4
**How Do G2 Users Rate Viacryp?**

- **Ease of Use:** 9.2/10 (Category avg: 8.9/10)
- **GDPR compliant:** 9.2/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 9.2/10 (Category avg: 9.0/10)
- **CCPA compliant:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind Viacryp?**

- **Seller:** [Viacryp](https://www.g2.com/sellers/viacryp)
- **Year Founded:** 2013
- **HQ Location:** Amsterdam, NL
- **LinkedIn® Page:** https://www.linkedin.com/company/viacryp/about/ (5 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Small-Business, 25% Enterprise



#### What Are Recent G2 Reviews of Viacryp?

**"[Pseudonymize safe and controlled data](https://www.g2.com/survey_responses/viacryp-review-8453927)"**

**Rating:** 4.5/5.0 stars
*— Gabriela L.*

[Read full review](https://www.g2.com/survey_responses/viacryp-review-8453927)

---

**"[Upholding Privacy &amp; Data Security](https://www.g2.com/survey_responses/viacryp-review-8550760)"**

**Rating:** 5.0/5.0 stars
*— Jakes J.*

[Read full review](https://www.g2.com/survey_responses/viacryp-review-8550760)

---



### 3. [Anonos Data Embassy](https://www.g2.com/products/anonos-data-embassy/reviews)
The Anonos Data Embassy platform is the only technology that eliminates the tradeoff between data protection and data utility. The patented software uniquely combines statutory pseudonymization, synthetic data and a number of other privacy-enhancing computation techniques to control who sees what, when, where and why before any data is accessible. Streamlined approvals and workflows mean more data can be approved more quickly for more use cases with lower risk – and the highest level of compliance for the General Data Protection Regulation (GDPR), Schrems II and any other data privacy or security regulation. With Data Embassy, you can power secure data processing in untrusted environments with cleartext accuracy and speed for faster insights to reach enterprise goals.


**Average Rating:** 4.0/5.0
**Total Reviews:** 3
**How Do G2 Users Rate Anonos Data Embassy?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **GDPR compliant:** 10.0/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind Anonos Data Embassy?**

- **Seller:** [Anonos](https://www.g2.com/sellers/anonos)
- **Year Founded:** 2013
- **HQ Location:** Plano, US
- **Twitter:** @anonos (436 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/5278249 (35 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 133% Mid-Market, 33% Enterprise


#### What Are Anonos Data Embassy's Pros and Cons?

**Pros:**

- Data Protection (1 reviews)
- Encryption (1 reviews)

**Cons:**

- Integration Issues (1 reviews)
- Limited Features (1 reviews)


### What Do G2 Reviewers Say About Anonos Data Embassy?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **data protection capabilities** of Anonos Data Embassy, enabling safe analytics without GDPR restrictions.
- Users value the **encryption capabilities** of Anonos Data Embassy for safely utilizing sensitive data without GDPR restrictions.

**Cons:**

- Users find the **limited integration options** of Anonos Data Embassy hinder their data analysis and visualization efforts.
- Users note the **limited features** of Anonos Data Embassy, particularly in data visualization and analytics capabilities.

#### What Are Recent G2 Reviews of Anonos Data Embassy?

**"[Excellent Experience!!](https://www.g2.com/survey_responses/anonos-data-embassy-review-7938243)"**

**Rating:** 4.0/5.0 stars
*— Khushi P.*

[Read full review](https://www.g2.com/survey_responses/anonos-data-embassy-review-7938243)

---

**"[A Revolutionary Solution Bridging Data Protection and Utility](https://www.g2.com/survey_responses/anonos-data-embassy-review-8236014)"**

**Rating:** 4.5/5.0 stars
*— Yunus K.*

[Read full review](https://www.g2.com/survey_responses/anonos-data-embassy-review-8236014)

---



### 4. [Babel Obfuscator](https://www.g2.com/products/babel-obfuscator/reviews)
Babel Obfuscator is a robust protection tool designed for the Microsoft .NET Framework, aimed at safeguarding software against reverse engineering. Applications developed in .NET languages, such as C# and Visual Basic .NET, are typically susceptible to decompilation due to their compilation into Microsoft Intermediate Language (MSIL, which includes metadata that can reconstruct the original source code. Babel Obfuscator addresses this vulnerability by transforming assemblies to conceal the code, making reverse engineering exceedingly challenging. This transformation process, known as obfuscation, ensures the security of your intellectual property. Key Features and Functionality: - Comprehensive Compatibility: Supports a wide range of .NET technologies, including .NET 9.0 through 5.0, .NET Core 2.x and 3.x, .NET Standard 1.x and 2.x, .NET Framework versions from 2.0 to 4.x, .NET MAUI, ASP.NET, Blazor, Xamarin for Android and iOS, Universal Windows Platform, Mono, nanoFramework, Silverlight, and Unity. - Cross-Platform Support: Operates seamlessly on Windows, macOS, and Linux operating systems. - Advanced Code Protection: Employs fully managed code encryption and virtualization to secure method bytecode, rendering it indecipherable to decompilers. - Deployment Simplification: Facilitates the merging or embedding of all dependencies into a single file, streamlining application deployment. - Code Optimization: Reduces overall metadata size and eliminates unused code, enhancing performance and reducing load times. - Integration Capabilities: Integrates with Visual Studio tools, Azure DevOps, AppCenter, MSBuild, and offers command-line support. - Command-Line Interface: Available as a .NET CLI global tool for streamlined operations. Primary Value and Problem Solved: Babel Obfuscator&#39;s primary value lies in its ability to protect .NET applications from unauthorized access and intellectual property theft. By obfuscating code, it prevents reverse engineering, ensuring that proprietary algorithms and business logic remain confidential. This protection is crucial for developers and organizations aiming to secure their software assets against piracy and unauthorized modifications. Additionally, its compatibility with various .NET technologies and cross-platform support makes it a versatile solution for diverse development environments.


**Average Rating:** 4.7/5.0
**Total Reviews:** 3
**How Do G2 Users Rate Babel Obfuscator?**

- **Ease of Use:** 9.2/10 (Category avg: 8.9/10)
- **GDPR compliant:** 8.3/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 8.3/10 (Category avg: 9.0/10)
- **CCPA compliant:** 8.3/10 (Category avg: 9.1/10)

**Who Is the Company Behind Babel Obfuscator?**

- **Seller:** [Babel Obfuscator](https://www.g2.com/sellers/babel-obfuscator)
- **HQ Location:** Italy
- **LinkedIn® Page:** https://www.linkedin.com/company/babelfornet (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Enterprise, 33% Mid-Market



#### What Are Recent G2 Reviews of Babel Obfuscator?

**"[User Ananysis](https://www.g2.com/survey_responses/babel-obfuscator-review-8419667)"**

**Rating:** 5.0/5.0 stars
*— Debasis .*

[Read full review](https://www.g2.com/survey_responses/babel-obfuscator-review-8419667)

---

**"[Best Protection Tool for the Source Code](https://www.g2.com/survey_responses/babel-obfuscator-review-7971474)"**

**Rating:** 5.0/5.0 stars
*— Venkatramanan S.*

[Read full review](https://www.g2.com/survey_responses/babel-obfuscator-review-7971474)

---



### 5. [Data Secure](https://www.g2.com/products/epi-use-labs-data-secure/reviews)
Improve your SAP data security and comply with data privacy legislation by scrambling sensitive data in your SAP non-production environments with Data Secure, part of both the Data Sync Manager (DSM) Suite and Data Privacy Suite for SAP solutions developed by EPI-USE Labs. It&#39;s easy to mask an entire client with Data Secure, as it&#39;s designed to handle large volumes of data. This scalability ensures that you can use it for your current data needs, and be prepared for future data volumes. You can use it separately, or with DSM Client Sync to scramble data as you create the new client.


**Average Rating:** 4.5/5.0
**Total Reviews:** 3
**How Do G2 Users Rate Data Secure?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)

**Who Is the Company Behind Data Secure?**

- **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®)

**Who Uses This Product?**
- **Company Size:** 67% Mid-Market, 33% Small-Business



#### What Are Recent G2 Reviews of Data Secure?

**"[Privacy Automation Service](https://www.g2.com/survey_responses/data-secure-review-7170278)"**

**Rating:** 4.5/5.0 stars
*— Mohideen N.*

[Read full review](https://www.g2.com/survey_responses/data-secure-review-7170278)

---

**"[Privacy  services](https://www.g2.com/survey_responses/data-secure-review-7170364)"**

**Rating:** 4.5/5.0 stars
*— Saranya M.*

[Read full review](https://www.g2.com/survey_responses/data-secure-review-7170364)

---



### 6. [DOT Anonymizer](https://www.g2.com/products/dot-anonymizer/reviews)
DOT Anonymizer is an automated data anonymization solution developed by ARCAD Software. It enables organizations to generate anonymized, consistent, and usable data while protecting personal or identifying information across complex IT environments. Key Features : - Automated data anonymization Automatically masks personally identifiable information (PII) to secure non-production environments such as testing, development, training, and analytics. - Realistic and usable data Preserves data formats, distributions, and business logic to ensure anonymized datasets remain functional and relevant for real-world use cases. - Data consistency and referential integrity Maintains relationships and coherence across databases, applications, and systems—even in distributed or multi-technology environments. - Wide range of masking techniques Supports substitution, shuffling, randomization, tokenization, and custom rules to adapt anonymization strategies to business and regulatory needs. - Multi-technology and multi-database support Works across heterogeneous environments, including legacy and modern systems, relational databases, and complex application landscapes. - Scalable and high-performance processing Designed to handle large data volumes efficiently, supporting enterprise-scale anonymization projects. - Compliance by design Helps organizations meet GDPR and data protection requirements by minimizing exposure of sensitive data outside production systems. - Centralized configuration and repeatability Enables consistent anonymization policies across projects, with reusable rules and controlled execution. Key Benefits : - Secure use of sensitive data without impacting productivity - Reduced risk of data leaks and compliance violations - Faster access to compliant datasets for IT and data teams - Improved quality of testing, analytics, and innovation initiatives DOT Anonymizer allows organizations to balance data protection, compliance, and operational efficiency, making sensitive data safe to use while keeping it valuable. 👉 More info: https://www.arcadsoftware.com/dot/


**Average Rating:** 4.5/5.0
**Total Reviews:** 3
**How Do G2 Users Rate DOT Anonymizer?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **GDPR compliant:** 9.4/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 9.4/10 (Category avg: 9.0/10)
- **CCPA compliant:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind DOT Anonymizer?**

- **Seller:** [ARCAD Software](https://www.g2.com/sellers/arcad-software)
- **Year Founded:** 1992
- **HQ Location:** Chavanod, FR
- **Twitter:** @arcad_software (793 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/arcad-software/ (121 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 33% Enterprise, 33% Mid-Market



#### What Are Recent G2 Reviews of DOT Anonymizer?

**"[Data privacy regulations](https://www.g2.com/survey_responses/dot-anonymizer-review-9942310)"**

**Rating:** 4.5/5.0 stars
*— Jose L.*

[Read full review](https://www.g2.com/survey_responses/dot-anonymizer-review-9942310)

---

**"[Secure data with DOT Anonymizer](https://www.g2.com/survey_responses/dot-anonymizer-review-8243083)"**

**Rating:** 5.0/5.0 stars
*— Firoz A.*

[Read full review](https://www.g2.com/survey_responses/dot-anonymizer-review-8243083)

---



### 7. [Privacy Analytics Eclipse](https://www.g2.com/products/privacy-analytics-eclipse/reviews)
Privacy Analytics, an IQVIA company, enables organizations to unlock the value of sensitive data for secondary purposes without compromising personal information.


**Average Rating:** 4.7/5.0
**Total Reviews:** 3
**How Do G2 Users Rate Privacy Analytics Eclipse?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **GDPR compliant:** 9.2/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 8.3/10 (Category avg: 9.0/10)
- **CCPA compliant:** 8.3/10 (Category avg: 9.1/10)

**Who Is the Company Behind Privacy Analytics Eclipse?**

- **Seller:** [Privacy Analytics](https://www.g2.com/sellers/privacy-analytics)
- **Year Founded:** 2007
- **HQ Location:** Ottawa, CA
- **Twitter:** @privacyanalytic (1,190 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/privacy-analytics-inc- (85 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 33% Enterprise, 33% Mid-Market



#### What Are Recent G2 Reviews of Privacy Analytics Eclipse?

**"[pros and cons of using analytics eclipse](https://www.g2.com/survey_responses/privacy-analytics-eclipse-review-8248483)"**

**Rating:** 5.0/5.0 stars
*— Sindhu G.*

[Read full review](https://www.g2.com/survey_responses/privacy-analytics-eclipse-review-8248483)

---

**"[Handling the confidential data with utmost security](https://www.g2.com/survey_responses/privacy-analytics-eclipse-review-8258149)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Computer &amp; Network Security*

[Read full review](https://www.g2.com/survey_responses/privacy-analytics-eclipse-review-8258149)

---



### 8. [RansomDataProtect](https://www.g2.com/products/ransomdataprotect/reviews)
RansomDataProtect offers a secure solution for sending and sharing sensitive and personal data with confidence. With an easy-to-use interface and robust encryption options, RansomDataProtect ensures total confidentiality for its users while ensuring GDPR compliance. Users can choose between two security options: a shared password or automatic authentication through the owner-designated trust circles. Each option offers unique advantages in terms of security and convenience. RansomDataProtect also provides the ability to partially or fully conceal files, making collaboration easier without compromising security. Furthermore, encrypted emails can only be decrypted by users within the same trust circle or those who possess the appropriate password. In short, RansomDataProtect is the ideal solution for users who are looking to ensure the security of their sensitive and personal data when sending and sharing files and emails.


**Average Rating:** 5.0/5.0
**Total Reviews:** 3
**How Do G2 Users Rate RansomDataProtect?**

- **Ease of Use:** 6.7/10 (Category avg: 8.9/10)
- **GDPR compliant:** 10.0/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind RansomDataProtect?**

- **Seller:** [Droon](https://www.g2.com/sellers/droon)
- **Year Founded:** 2019
- **HQ Location:** Paris, FR
- **LinkedIn® Page:** https://www.linkedin.com/company/13982425 (5 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Small-Business, 33% Mid-Market



#### What Are Recent G2 Reviews of RansomDataProtect?

**"[Ransomdataprotect review Makhshif](https://www.g2.com/survey_responses/ransomdataprotect-review-7783578)"**

**Rating:** 5.0/5.0 stars
*— Makhshif T.*

[Read full review](https://www.g2.com/survey_responses/ransomdataprotect-review-7783578)

---

**"[Review for Ransomware protection](https://www.g2.com/survey_responses/ransomdataprotect-review-8251187)"**

**Rating:** 5.0/5.0 stars
*— Mani S.*

[Read full review](https://www.g2.com/survey_responses/ransomdataprotect-review-8251187)

---



### 9. [STRM Privacy](https://www.g2.com/products/strm-privacy/reviews)
Privacy by Design for data \_ Bring your privacy policies into data and make sure purpose, transformation and processing are aligned and safe to use in our Privacy Streams.


**Average Rating:** 4.5/5.0
**Total Reviews:** 3
**How Do G2 Users Rate STRM Privacy?**

- **Ease of Use:** 9.4/10 (Category avg: 8.9/10)
- **GDPR compliant:** 9.2/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 9.2/10 (Category avg: 9.1/10)

**Who Is the Company Behind STRM Privacy?**

- **Seller:** [STRM Privacy](https://www.g2.com/sellers/strm-privacy)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market, 67% Enterprise



#### What Are Recent G2 Reviews of STRM Privacy?

**"[Stay Safe and Secure Online with STRM&#39;s Advanced Privacy Measures](https://www.g2.com/survey_responses/strm-privacy-review-7807357)"**

**Rating:** 4.5/5.0 stars
*— Yunus K.*

[Read full review](https://www.g2.com/survey_responses/strm-privacy-review-7807357)

---

**"[Works with pre-characterized information types](https://www.g2.com/survey_responses/strm-privacy-review-9785096)"**

**Rating:** 4.5/5.0 stars
*— Stefan K.*

[Read full review](https://www.g2.com/survey_responses/strm-privacy-review-9785096)

---



### 10. [Thales data tokenization](https://www.g2.com/products/thales-data-tokenization/reviews)
Vormetric Tokenization and related solutions dramatically reduce the cost and effort of meeting compliance mandates such as GDPR and PCI DSS. Vormetric Tokenization with Dynamic Data Masking protects data at the application level with simple RESTful API calls to replace sensitive data with a comprehensive range of data transformation mechanisms.


**Average Rating:** 4.0/5.0
**Total Reviews:** 5
**How Do G2 Users Rate Thales data tokenization?**

- **Ease of Use:** 7.1/10 (Category avg: 8.9/10)

**Who Is the Company Behind Thales data tokenization?**

- **Seller:** [Thales Group](https://www.g2.com/sellers/thales-group)
- **HQ Location:** Austin, Texas
- **Twitter:** @ThalesCloudSec (6,935 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/thalessoftwaremonetization/ (1,470 employees on LinkedIn®)
- **Ownership:** EPA:HO
- **Total Revenue (USD mm):** $15,854

**Who Uses This Product?**
- **Company Size:** 33% Enterprise, 33% Mid-Market


#### What Are Thales data tokenization's Pros and Cons?

**Pros:**

- Ease of Use (1 reviews)

**Cons:**

- Expensive (1 reviews)


### What Do G2 Reviewers Say About Thales data tokenization?
*AI-generated summary from verified user reviews*

**Pros:**

- Users find Thales data tokenization to be incredibly **easy to use** , ensuring the protection of important data effortlessly.

**Cons:**

- Users find Thales data tokenization to be **expensive for small businesses** , limiting its accessibility and affordability.

#### What Are Recent G2 Reviews of Thales data tokenization?

**"[Review of Thales Data Tokenization](https://www.g2.com/survey_responses/thales-data-tokenization-review-10370978)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Computer Software*

[Read full review](https://www.g2.com/survey_responses/thales-data-tokenization-review-10370978)

---

**"[ESET EDR](https://www.g2.com/survey_responses/thales-data-tokenization-review-7789186)"**

**Rating:** 4.0/5.0 stars
*— Dolly C.*

[Read full review](https://www.g2.com/survey_responses/thales-data-tokenization-review-7789186)

---



### 11. [Wizuda Data Anonymisation](https://www.g2.com/products/wizuda-data-anonymisation/reviews)
Wizuda is the innovation leader in providing software solutions that allow organisations to take control and track all data flows, internally and externally, to create an environment of compliance and data privacy.


**Average Rating:** 4.3/5.0
**Total Reviews:** 3
**How Do G2 Users Rate Wizuda Data Anonymisation?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **GDPR compliant:** 8.3/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 9.2/10 (Category avg: 9.0/10)
- **CCPA compliant:** 9.2/10 (Category avg: 9.1/10)

**Who Is the Company Behind Wizuda Data Anonymisation?**

- **Seller:** [Wizuda](https://www.g2.com/sellers/wizuda)
- **Year Founded:** 2001
- **HQ Location:** Dublin 22, IE
- **Twitter:** @WizudaGDPR (392 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/wizuda/ (5 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Small-Business, 33% Enterprise



#### What Are Recent G2 Reviews of Wizuda Data Anonymisation?

**"[easy way to anonymize data](https://www.g2.com/survey_responses/wizuda-data-anonymisation-review-7950918)"**

**Rating:** 4.0/5.0 stars
*— Scott S.*

[Read full review](https://www.g2.com/survey_responses/wizuda-data-anonymisation-review-7950918)

---

**"[Trustworthy Tool for Security of Data](https://www.g2.com/survey_responses/wizuda-data-anonymisation-review-7965562)"**

**Rating:** 5.0/5.0 stars
*— Venkatramanan S.*

[Read full review](https://www.g2.com/survey_responses/wizuda-data-anonymisation-review-7965562)

---



### 12. [Assure QuickEDD](https://www.g2.com/products/assure-quickedd/reviews)
Protecting critical IBM i applications from downtime and guarding against data loss with simple, scalable, full-featured high availability and disaster recovery products.


**Average Rating:** 4.5/5.0
**Total Reviews:** 5
**How Do G2 Users Rate Assure QuickEDD?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **GDPR compliant:** 8.3/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 9.2/10 (Category avg: 9.1/10)

**Who Is the Company Behind Assure QuickEDD?**

- **Seller:** [Precisely](https://www.g2.com/sellers/precisely-0b25c016-ffa5-4f51-9d9e-fcbc9f54cc55)
- **HQ Location:** Burlington, Massachusetts
- **Twitter:** @PreciselyData (3,963 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/64863146/ (3,006 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 60% Mid-Market, 40% Small-Business



#### What Are Recent G2 Reviews of Assure QuickEDD?

**"[Safely and conveniently protect your data](https://www.g2.com/survey_responses/assure-quickedd-review-8242449)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Financial Services*

[Read full review](https://www.g2.com/survey_responses/assure-quickedd-review-8242449)

---

**"[Efficient and Reliable](https://www.g2.com/survey_responses/assure-quickedd-review-8236000)"**

**Rating:** 4.5/5.0 stars
*— Yunus K.*

[Read full review](https://www.g2.com/survey_responses/assure-quickedd-review-8236000)

---



### 13. [Assure Security](https://www.g2.com/products/assure-security/reviews)
Enabling your organization to comply with cybersecurity regulations and strengthen IBM i security by controlling access to systems and data, enforcing data privacy, monitoring for compliance, and assessing risks.


**Average Rating:** 4.1/5.0
**Total Reviews:** 12
**How Do G2 Users Rate Assure Security?**

- **Ease of Use:** 8.8/10 (Category avg: 8.9/10)
- **GDPR compliant:** 10.0/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind Assure Security?**

- **Seller:** [Precisely](https://www.g2.com/sellers/precisely-0b25c016-ffa5-4f51-9d9e-fcbc9f54cc55)
- **HQ Location:** Burlington, Massachusetts
- **Twitter:** @PreciselyData (3,963 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/64863146/ (3,006 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Mid-Market, 33% Enterprise



#### What Are Recent G2 Reviews of Assure Security?

**"[Something attractive about Assure Security.](https://www.g2.com/survey_responses/assure-security-review-7180785)"**

**Rating:** 4.5/5.0 stars
*— Kartik A.*

[Read full review](https://www.g2.com/survey_responses/assure-security-review-7180785)

---

**"[Ensures Safety Of Data At The Organisational Level With Assure Security](https://www.g2.com/survey_responses/assure-security-review-9870297)"**

**Rating:** 4.5/5.0 stars
*— Riya  R.*

[Read full review](https://www.g2.com/survey_responses/assure-security-review-9870297)

---



### 14. [Cloud Compliance for Salesforce](https://www.g2.com/products/cloud-compliance-for-salesforce/reviews)
Build customer trust by keeping their data safe and your processes compliant with GDPR, CCPA, LGPD, and HIPAA data privacy regulations. ✔ Privacy Rights Automation Automate Data Portability, Right To Be Forgotten (RTBF), de-identification, and other Subject Access Requests (SAR). Our app enables self-service and automates all privacy rights-related activities. ✔ Data Minimization &amp; Retention Limit breach exposure by reducing your data footprint. Old data increases breach impact and storage cost. Our app automates data anonymization/obfuscation and deletion in line with retention policies ✔ Sandbox Data Mask Protect your organization and mask/erase sensitive data from your sandboxes. Our app mitigates data breach risk with an automated &amp; consistent DevOps/CI/CD process ✔ Consent Management Solve consent fragmentation with an enterprise-wide consent and communication preference repository. Our app integrates with Marketing Cloud, Pardot, Marketo and others ✔ Personal Data Discovery Create a Personal Data Inventory and conduct Data Protection Impact Assessments (DPIA) ✔ Policy &amp; Notice Management Drive transparency and audit-readiness in your privacy disclosures Valuable GDPR Compliance Tool. - Lucia T, Vera Solutions An Excellent tool for CCPA. - Sachin K, Slalom We were looking for a one-touch RTBF/Portability utility. Highly recommend this product for a quick/easy solution - Andrew M, ClearChoice


**Average Rating:** 4.5/5.0
**Total Reviews:** 21
**How Do G2 Users Rate Cloud Compliance for Salesforce?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **GDPR compliant:** 10.0/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 9.2/10 (Category avg: 9.0/10)
- **CCPA compliant:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind Cloud Compliance for Salesforce?**

- **Seller:** [Cloud Compliance](https://www.g2.com/sellers/cloud-compliance-ea3db68a-ee7d-4785-9bef-15ae06ebb092)
- **Year Founded:** 2018
- **HQ Location:** Chicago, IL
- **LinkedIn® Page:** https://www.linkedin.com/company/cloudcompliance-app/ (25 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 57% Mid-Market, 33% Enterprise



#### What Are Recent G2 Reviews of Cloud Compliance for Salesforce?

**"[Installer/service technician](https://www.g2.com/survey_responses/cloud-compliance-for-salesforce-review-7808850)"**

**Rating:** 4.5/5.0 stars
*— Nicholas R.*

[Read full review](https://www.g2.com/survey_responses/cloud-compliance-for-salesforce-review-7808850)

---

**"[Best tool for securing data](https://www.g2.com/survey_responses/cloud-compliance-for-salesforce-review-9637322)"**

**Rating:** 4.5/5.0 stars
*— SYED BASAR K.*

[Read full review](https://www.g2.com/survey_responses/cloud-compliance-for-salesforce-review-9637322)

---


#### What Are G2 Users Discussing About Cloud Compliance for Salesforce?

- [What is Cloud Compliance for Salesforce used for?](https://www.g2.com/discussions/what-is-cloud-compliance-for-salesforce-used-for)

### 15. [DATAMIMIC](https://www.g2.com/products/datamimic/reviews)
DATAMIMIC is a deterministic test data platform specializing in enterprise-grade synthetic generation, policy-based anonymization, and complex JSON and XML handling. Teams define data requirements as reusable models — not brittle scripts — and generate reproducible, PII-safe datasets on demand. Built for regulated industries, every generation run is logged, replayable, and aligned with GDPR, DORA, BCBS 239, and PCI DSS requirements. Founded in Hamburg in 2019, rapiddweller builds tools that help engineering teams accelerate delivery without exposing production data. From our offices in Germany and Vietnam, we serve banks, insurers, payment processors, and public-sector organizations across Europe and beyond — combining deep domain expertise with a platform engineered for the most demanding compliance environments. DATAMIMIC puts your team in control: define your data model once, generate across any environment, test with confidence. Model. Generate. Test.


**Average Rating:** 4.1/5.0
**Total Reviews:** 5
**How Do G2 Users Rate DATAMIMIC?**

- **Ease of Use:** 7.3/10 (Category avg: 8.9/10)
- **GDPR compliant:** 8.3/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 8.3/10 (Category avg: 9.0/10)
- **CCPA compliant:** 8.3/10 (Category avg: 9.1/10)

**Who Is the Company Behind DATAMIMIC?**

- **Seller:** [rapiddweller](https://www.g2.com/sellers/rapiddweller-1f2f7004-87af-448c-bde0-c8a67062cda1)
- **Year Founded:** 2019
- **HQ Location:** Hamburg, DE
- **Twitter:** @rapiddweller (8 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/rapiddweller/ (15 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 40% Small-Business, 40% Enterprise


#### What Are DATAMIMIC's Pros and Cons?

**Pros:**

- Data Management (1 reviews)
- Performance (1 reviews)

**Cons:**

- Data Restrictions (1 reviews)
- Expensive (1 reviews)
- Integration Issues (1 reviews)


### What Do G2 Reviewers Say About DATAMIMIC?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **data generation capabilities** of DATAMIMIC for testing, enhancing performance with various data models.
- Users value the **performance data generation** capabilities of DATAMIMIC, enhancing their testing and model support experience.

**Cons:**

- Users face **data restrictions** that require manual handling of specific datasets, complicating integration and upgrades.
- Users find the **expensive nature** of DATAMIMIC coupled with integration challenges and manual dataset handling burdensome.
- Users face **integration challenges** with DATAMIMIC, requiring manual management of specific datasets for effective use.

#### What Are Recent G2 Reviews of DATAMIMIC?

**"[Best tool to generate relevant data sets, speed up model testing and deployment](https://www.g2.com/survey_responses/datamimic-review-9940568)"**

**Rating:** 4.5/5.0 stars
*— Pankaj G.*

[Read full review](https://www.g2.com/survey_responses/datamimic-review-9940568)

---

**"[Very much recommended platform to test generation faster AI powered Development](https://www.g2.com/survey_responses/datamimic-review-9937169)"**

**Rating:** 5.0/5.0 stars
*— AFZAL R D.*

[Read full review](https://www.g2.com/survey_responses/datamimic-review-9937169)

---



### 16. [Enigma Vault](https://www.g2.com/products/enigma-vault/reviews)
Enigma Vault is a SaaS based payment card, data (plaintext), and file tokenization solution. You provide the data, we provide the token. For payment cards we have secure entry forms that can be embedded within your app, so you don&#39;t have to handle card data. For more information, please visit our website www.enigmavault.io


**Average Rating:** 4.4/5.0
**Total Reviews:** 6
**How Do G2 Users Rate Enigma Vault?**

- **Ease of Use:** 9.2/10 (Category avg: 8.9/10)
- **GDPR compliant:** 10.0/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 8.3/10 (Category avg: 9.0/10)
- **CCPA compliant:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind Enigma Vault?**

- **Seller:** [Enigma Security Solutions](https://www.g2.com/sellers/enigma-security-solutions)
- **Year Founded:** 2020
- **HQ Location:** New York, US
- **Twitter:** @enigmavault (6 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/enigma-vault/ (4 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Small-Business, 33% Mid-Market


#### What Are Enigma Vault's Pros and Cons?

**Pros:**

- Affordable (1 reviews)
- Ease of Use (1 reviews)
- Encryption (1 reviews)
- Encryption Security (1 reviews)
- Storage Capacity (1 reviews)



### What Do G2 Reviewers Say About Enigma Vault?
*AI-generated summary from verified user reviews*

**Pros:**

- Users find Enigma Vault to be **very affordable** , especially compared to other card tokenization options available.
- Users find the **ease of use** of Enigma Vault&#39;s API refreshing and straightforward, enhancing their overall experience.
- Users appreciate the **smooth encryption** and practical features of Enigma Vault, ensuring effortless data security management.
- Users appreciate the **encryption security** of Enigma Vault, finding it effective and seamless for managing sensitive data.
- Users appreciate the **large storage capacity** of Enigma Vault, enabling smooth handling of diverse sensitive data effortlessly.


#### What Are Recent G2 Reviews of Enigma Vault?

**"[Support is incredible. They added our domestic card  and languages in less than 24h - ultra good.](https://www.g2.com/survey_responses/enigma-vault-review-10936404)"**

**Rating:** 5.0/5.0 stars
*— Ivan M.*

[Read full review](https://www.g2.com/survey_responses/enigma-vault-review-10936404)

---

**"[Reliable Solution for Data Encryption and Tokenization](https://www.g2.com/survey_responses/enigma-vault-review-8212886)"**

**Rating:** 5.0/5.0 stars
*— Aashir S.*

[Read full review](https://www.g2.com/survey_responses/enigma-vault-review-8212886)

---



### 17. [Immuta](https://www.g2.com/products/immuta/reviews)
Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and access control, data activity monitoring, and has deep integrations with the leading cloud data platforms. Immuta is now trusted by Fortune 500 companies and government agencies around the world to secure their data. Founded in 2015, Immuta is headquartered in Boston, MA.


**Average Rating:** 4.3/5.0
**Total Reviews:** 15
**How Do G2 Users Rate Immuta?**

- **Ease of Use:** 8.5/10 (Category avg: 8.9/10)

**Who Is the Company Behind Immuta?**

- **Seller:** [Immuta](https://www.g2.com/sellers/immuta)
- **Year Founded:** 2015
- **HQ Location:** Boston, Massachusetts
- **Twitter:** @immuta (38,102 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/immuta/ (193 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Information Technology and Services
- **Company Size:** 67% Enterprise, 20% Mid-Market



#### What Are Recent G2 Reviews of Immuta?

**"[Immuta Experience](https://www.g2.com/survey_responses/immuta-review-7966757)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Information Technology and Services*

[Read full review](https://www.g2.com/survey_responses/immuta-review-7966757)

---

**"[Excellent Data securities &amp; Permissions to add or remove user access effectively!](https://www.g2.com/survey_responses/immuta-review-7813790)"**

**Rating:** 4.5/5.0 stars
*— venkatarama sharma C.*

[Read full review](https://www.g2.com/survey_responses/immuta-review-7813790)

---


#### What Are G2 Users Discussing About Immuta?

- [What is Immuta used for?](https://www.g2.com/discussions/what-is-immuta-used-for) - 1 comment

### 18. [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 Use:** 9.6/10 (Category avg: 8.9/10)
- **GDPR compliant:** 8.3/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 5.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 8.3/10 (Category avg: 9.1/10)

**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)

### 19. [Protegrity](https://www.g2.com/products/protegrity/reviews)
Protegrity helps enterprises make sensitive data safe to use in AI, analytics, and modern data workflows. Our data security platform protects data at the field level, centralizes policy and governance, and enforces controls across on-prem, cloud, SaaS, and AI systems. Protegrity offers editions (AI Developer Edition, AI Team Edition, AI Enterprise Edition) that support each stage of AI maturity, from early experimentation to governed, enterprise-scale deployment, all built on the same data-centric security foundation. Capabilities include discovery, classification, policy orchestration, tokenization, masking, encryption, anonymization, synthetic data, semantic guardrails, and secure text-to-analytics. Protegrity is built to help teams use data with confidence while maintaining control, compliance, and auditability.


**Average Rating:** 4.5/5.0
**Total Reviews:** 14
**How Do G2 Users Rate Protegrity?**

- **Ease of Use:** 8.9/10 (Category avg: 8.9/10)
- **GDPR compliant:** 10.0/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)

**Who Is the Company Behind Protegrity?**

- **Seller:** [Protegrity](https://www.g2.com/sellers/protegrity)
- **Year Founded:** 1996
- **HQ Location:** Stamford, US
- **Twitter:** @Protegrity (4,460 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/15741 (377 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 43% Mid-Market, 29% Enterprise



#### What Are Recent G2 Reviews of Protegrity?

**"[Good tool for all uses](https://www.g2.com/survey_responses/protegrity-review-6943427)"**

**Rating:** 5.0/5.0 stars
*— Péter G.*

[Read full review](https://www.g2.com/survey_responses/protegrity-review-6943427)

---

**"[Data Security](https://www.g2.com/survey_responses/protegrity-review-7956211)"**

**Rating:** 5.0/5.0 stars
*— Gaurav S.*

[Read full review](https://www.g2.com/survey_responses/protegrity-review-7956211)

---


#### What Are G2 Users Discussing About Protegrity?

- [What is Protegrity used for?](https://www.g2.com/discussions/what-is-protegrity-used-for)

### 20. [Redgate Data Masker](https://www.g2.com/products/redgate-data-masker/reviews)
Redgate Data Masker enhances your data security with an automated masking approach, reducing significant time to provisioning to benefit the users of your non-production databases. Masking sensitive data across your estate enables you to deliver secure data to downstream environments in non-production databases for development and testing. Enabling this automatically ensures your data is secure across your organization – therefore minimizing data risk, and ultimately protecting your business. Start your free 14-day free trial of Redgate Data Masker: https://www.red-gate.com/products/data-masker/trial/


**Average Rating:** 3.8/5.0
**Total Reviews:** 5
**How Do G2 Users Rate Redgate Data Masker?**

- **Ease of Use:** 9.2/10 (Category avg: 8.9/10)
- **GDPR compliant:** 10.0/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind Redgate Data Masker?**

- **Seller:** [Redgate Software](https://www.g2.com/sellers/redgate-software)
- **Year Founded:** 1999
- **HQ Location:** Cambridge, United Kingdom
- **Twitter:** @redgate (16,100 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/39481/ (547 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 60% Small-Business, 40% Mid-Market



#### What Are Recent G2 Reviews of Redgate Data Masker?

**"[DAta masker - easier than creating your own data set for QA](https://www.g2.com/survey_responses/redgate-data-masker-review-10486322)"**

**Rating:** 5.0/5.0 stars
*— neil f.*

[Read full review](https://www.g2.com/survey_responses/redgate-data-masker-review-10486322)

---

**"[Redgate: How to protect your data](https://www.g2.com/survey_responses/redgate-data-masker-review-8631879)"**

**Rating:** 5.0/5.0 stars
*— Massimo S.*

[Read full review](https://www.g2.com/survey_responses/redgate-data-masker-review-8631879)

---



### 21. [Spring Labs](https://www.g2.com/products/spring-labs/reviews)
Enables competitively-sensitive parties to exchange information directly, and in a fundamentally new way.


**Average Rating:** 4.1/5.0
**Total Reviews:** 4
**How Do G2 Users Rate Spring Labs?**

- **Ease of Use:** 8.9/10 (Category avg: 8.9/10)

**Who Is the Company Behind Spring Labs?**

- **Seller:** [Spring Labs](https://www.g2.com/sellers/spring-labs)
- **Year Founded:** 2025
- **HQ Location:** Marina del Rey, US
- **LinkedIn® Page:** https://www.linkedin.com/company/27450419 (71 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Mid-Market, 25% Enterprise



#### What Are Recent G2 Reviews of Spring Labs?

**"[Secure your business with Spring Labs](https://www.g2.com/survey_responses/spring-labs-review-8251734)"**

**Rating:** 4.0/5.0 stars
*— Abhit H.*

[Read full review](https://www.g2.com/survey_responses/spring-labs-review-8251734)

---

**"[Spring Labs - the best](https://www.g2.com/survey_responses/spring-labs-review-7727662)"**

**Rating:** 4.5/5.0 stars
*— Paranjothi M.*

[Read full review](https://www.g2.com/survey_responses/spring-labs-review-7727662)

---



### 22. [StratoKey](https://www.g2.com/products/stratokey/reviews)
StratoKey is a Cloud Access Security Broker (CASB) that specializes in securing cloud and SaaS applications with Encryption, Monitoring, Analytics and Defence (EMAD™).


**Average Rating:** 4.2/5.0
**Total Reviews:** 3
**How Do G2 Users Rate StratoKey?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **GDPR compliant:** 9.2/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 9.2/10 (Category avg: 9.0/10)
- **CCPA compliant:** 9.2/10 (Category avg: 9.1/10)

**Who Is the Company Behind StratoKey?**

- **Seller:** [StratoKey](https://www.g2.com/sellers/stratokey)
- **Year Founded:** 2012
- **HQ Location:** N/A
- **Twitter:** @StratoKey (203 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3721059 (5 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Mid-Market, 33% Small-Business



#### What Are Recent G2 Reviews of StratoKey?

**"[A Robust cloud security and compliance solution](https://www.g2.com/survey_responses/stratokey-review-7833194)"**

**Rating:** 5.0/5.0 stars
*— James P.*

[Read full review](https://www.g2.com/survey_responses/stratokey-review-7833194)

---

**"[StratoKey- A Cloud security platform](https://www.g2.com/survey_responses/stratokey-review-7833430)"**

**Rating:** 4.5/5.0 stars
*— Yurianto L.*

[Read full review](https://www.g2.com/survey_responses/stratokey-review-7833430)

---



### 23. [Titaniam Protect](https://www.g2.com/products/titaniam-protect/reviews)
Titaniam Protect makes it possible to search, analyze, aggregate, manipulate and transact sensitive data while maintaining granular, flexible, and adaptive protection for specific data and usage scenarios.


**Average Rating:** 4.7/5.0
**Total Reviews:** 3
**How Do G2 Users Rate Titaniam Protect?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **GDPR compliant:** 9.2/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 9.2/10 (Category avg: 9.1/10)

**Who Is the Company Behind Titaniam Protect?**

- **Seller:** [Titaniam](https://www.g2.com/sellers/titaniam)
- **Year Founded:** 2019
- **HQ Location:** San Jose, US
- **LinkedIn® Page:** http://www.linkedin.com/company/titaniamlabs (38 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Mid-Market, 33% Small-Business



#### What Are Recent G2 Reviews of Titaniam Protect?

**"[Its a awesome software that protects our precious data from data thief in this digital world.](https://www.g2.com/survey_responses/titaniam-protect-review-7869055)"**

**Rating:** 5.0/5.0 stars
*— Karan K.*

[Read full review](https://www.g2.com/survey_responses/titaniam-protect-review-7869055)

---

**"[A Tool to Protect Sensitive Transactional Data](https://www.g2.com/survey_responses/titaniam-protect-review-8162406)"**

**Rating:** 4.5/5.0 stars
*— James M.*

[Read full review](https://www.g2.com/survey_responses/titaniam-protect-review-8162406)

---



### 24. [Databunker Pro](https://www.g2.com/products/databunker-pro/reviews)
Databunker Pro is a self-hosted, GDPR-compliant secure vault and SDK designed to protect sensitive customer records, including Personally Identifiable Information (PII, Protected Health Information (PHI, and Know Your Customer (KYC data. Building upon the open-source Databunker platform, Databunker Pro offers advanced features tailored for enterprise security and compliance needs. Key Features and Functionality: - Enterprise Security Enhancements: Includes multi-tenancy support, key rotation mechanisms, and Shamir’s secret sharing for robust data protection. - Advanced Tokenization: Provides credit card and format-preserving tokenization APIs to secure payment information. - Flexible Deployment Options: Compatible with Kubernetes, OpenShift, and Docker Compose for seamless integration into various infrastructures. - Enhanced Access Control and Data Masking: Offers fine-grained access policies and data masking capabilities to ensure data confidentiality. - Comprehensive Consent Management: Features a built-in Consent Management Platform with user privacy portals and Data Protection Officer (DPO management tools. - Professional Support: Provides dedicated support and customization services to meet specific organizational requirements. Primary Value and Problem Solved: Databunker Pro addresses the critical need for secure storage and management of sensitive customer data, ensuring compliance with regulations such as GDPR, HIPAA, and PCI DSS. By offering advanced encryption, tokenization, and privacy management features, it simplifies the implementation of privacy-by-design principles, reduces the risk of data breaches, and streamlines compliance processes. Organizations can confidently protect customer information while maintaining operational efficiency and regulatory adherence.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Databunker Pro?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **GDPR compliant:** 10.0/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 8.3/10 (Category avg: 9.1/10)

**Who Is the Company Behind Databunker Pro?**

- **Seller:** [Databunker](https://www.g2.com/sellers/databunker)
- **LinkedIn® Page:** https://www.linkedin.com/company/databunker-db/

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market, 100% Small-Business



#### What Are Recent G2 Reviews of Databunker Pro?

**"[A reliable and secure GDPR compliance solution](https://www.g2.com/survey_responses/databunker-pro-review-7817923)"**

**Rating:** 5.0/5.0 stars
*— An L.*

[Read full review](https://www.g2.com/survey_responses/databunker-pro-review-7817923)

---



### 25. [DataHeroes Privacy Guard](https://www.g2.com/products/dataheroes-privacy-guard/reviews)
Protect the privacy of your employees and clients. Dataheroes Privacy Guard anonymizes all your privacy-sensitive data. Nothing can be traced back to people, while your data remains usable for testing, development and analysis purposes.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate DataHeroes Privacy Guard?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **GDPR compliant:** 10.0/10 (Category avg: 9.2/10)
- **Static pseudonymization:** 10.0/10 (Category avg: 9.0/10)
- **CCPA compliant:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind DataHeroes Privacy Guard?**

- **Seller:** [Data Heroes](https://www.g2.com/sellers/data-heroes)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



#### What Are Recent G2 Reviews of DataHeroes Privacy Guard?

**"[A hero guard for the data](https://www.g2.com/survey_responses/dataheroes-privacy-guard-review-7828055)"**

**Rating:** 5.0/5.0 stars
*— ASHISH K.*

[Read full review](https://www.g2.com/survey_responses/dataheroes-privacy-guard-review-7828055)

---




## What Is Data De-Identification Tools?

[Data Privacy Software](https://www.g2.com/categories/data-privacy-3d79da1e-6384-42b3-a11f-d04b6694e806)

## What Software Categories Are Similar to Data De-Identification Tools?

- [Encryption Software](https://www.g2.com/categories/encryption-software)
- [Data Masking Software](https://www.g2.com/categories/data-masking)


---

## How Do You Choose the Right Data De-Identification Tools?

### What You Should Know About Data De-identification Tools

### What are Data De-Identification Tools?

Data de-identification tools remove direct and indirect sensitive data and personally-identifying information from datasets to reduce the reidentification of that data. Data de-identification is particularly important for companies working with sensitive and highly regulated data, such as those in healthcare working with protected health information (PHI) in medical records or financial data. Based on G2 reviews, data privacy, compliance, and analytics teams evaluate data de-identification tools by comparing de-identification methods, sensitive data discovery capabilities, compliance support, scalability, ease of implementation, and analytics usability.

Companies may be prohibited from analyzing datasets that include sensitive and personally identifiable information (PII) in order to comply with internal policies and meet data privacy and data protection regulations. However, if the sensitive data is removed from a dataset in a non-identifiable manner, that dataset may become usable. For example, using data de-identification software tools, information such as peoples’ names, addresses, protected health information, tax identifying numbers, Social Security numbers, account numbers, and other personally identifying or sensitive data can be removed from datasets, enabling companies to extract analytical value from the remaining de-identified data. In more complex analytics environments, data de-identification tools preserving lineage relationships BI analytics can help organizations maintain useful data relationships for reporting and business intelligence while still reducing exposure of sensitive information.

When considering using de-identified datasets, companies should understand the risks of that sensitive data becoming re-identified. Reidentification risks can include differencing attacks, such as where bad actors use their knowledge about people to see if specific individuals’ personal data is included in a dataset, or reconstruction attacks, where someone combines data from other data sources to reconstruct the original de-identified dataset. When evaluating data de-identification methods, understanding the degree of anonymity using k-anonymity is important.

### What are the Common Features of Data De-identification Tools?

The following are some core features within data de-identification tools:

**Anonymization:** Some data de-identification solutions offer statistical data anonymization methods, including k-anonymity, low-count suppression, and noise insertion. When working with sensitive data, particularly regulated data, anonymization weights and techniques to achieve that must be considered. The more anonymized the data is, the lesser the risk of re-identification. However, the more anonymous a dataset is made, the less its utility and accuracy.&amp;nbsp;

**Tokenization or pseudonymization:** Tokenization or pseudonymization replaces sensitive data with a token value stored outside the production dataset; it effectively de-identifies the dataset in use but can be reconstructed when needed.

### What are the Benefits of Data De-identification Tools?

The biggest benefit of using data de-identification tools is enabling analyses of data that would otherwise be prohibited from use. This allows companies to extract insights from their data while following data privacy and protection regulations by protecting sensitive information.

**Data usability for data analysis:** Enables companies to analyze datasets and extract value from datasets that would otherwise be unable to be processed due to the sensitivity of data contained within them.&amp;nbsp;

**Regulatory compliance:** Global data privacy and protection regulations require companies to treat sensitive data differently than non-sensitive data. If a dataset can be made non-sensitive using data de-identification software techniques, it may no longer be in the scope of data privacy or data protection regulations.

### Who Uses Data De-identification Tools?

Data de-identification solutions are used by people analyzing production data or those creating algorithms. De-identified data can also be used for safe data sharing.

**Data Managers, administrators, and data scientists:** These professionals who interact with datasets regularly will likely work with data de-identification software tools.

**Qualified experts:** These include qualified experts under HIPAA and can provide expert determination to attest that a dataset is deemed de-identified and the risks of re-identification are small based on generally accepted statistical methods.&amp;nbsp;&amp;nbsp;

### What are the Alternatives to Data De-identification Tools?

Depending on the type of data protection a company is looking for, alternatives to data de-identification tools may be considered. For example, when determining when the data de-identification process is best, data masking may be a better option for companies that want to limit people from viewing sensitive data within applications. If the data merely needs to be protected during transit or at rest, encryption software may be a choice. If privacy-safe testing data is needed, synthetic data may be an alternative.

[Data masking software](https://www.g2.com/categories/data-masking): Data masking software obfuscates the data while retaining the original data. The mask can be lifted to reveal the original dataset.&amp;nbsp;

[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.&amp;nbsp;

[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.

### Challenges with Data De-identification Tools

Software solutions can come with their own set of challenges.&amp;nbsp;

**Minimizing re-identification risks:** Simply removing personal information from a dataset may not be enough to consider the dataset de-identified. Indirect personal identifiers— contextual personal information within the data—may be used to re-identify a person in the data. Reidentification can happen from cross-referencing one dataset with another, singling out specific factors that relate to a known individual, or through general inferences of data that tend to correlate. De-identifying both direct and indirect identifiers, introducing noise (random data), and generalizing the data by reducing the granularity and analyzing it in aggregate can help prevent re-identification.&amp;nbsp;

**Meeting regulatory requirements:** Many data privacy and data protection laws do not specify technical requirements for what is considered de-identified or anonymous data, so it is up to companies to understand the technical capabilities of their software solutions and how that relates to adhering to data protection regulations.

### How to Buy Data De-identification Tools

#### Requirements Gathering (RFI/RFP) for Data De-identification Tools

Users must determine their specific needs for data de-identification tools. They can answer the questions below to get a better understanding:

- What is the business purpose of seeking data de-identification software?&amp;nbsp;
- What kind of data is the user trying to de-identify?&amp;nbsp;
- Would data masking, data encryption, or synthetic data be an alternative for their use cases?&amp;nbsp;
- What degree of anonymity is needed?
- 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?&amp;nbsp;
- What software integrations may be needed?
- Who within the company should be authorized to view sensitive data, and who should be served with the de-identified data?&amp;nbsp;

#### Compare Data De-identification Software Products

**Create a long list**

Buyers can visit G2’s [Data De-identification Software](https://www.g2.com/categories/data-de-identification-and-pseudonymity) category, read reviews about data de-identification 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 buyers have 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 de-identification methods. 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 De-identification Tools

**Choose a selection team**

Buyers must determine which team is responsible for implementing and managing this software. Often, that may be someone from the data team. It is important to have a representative from the financial team on the selection committee to ensure the license is within budget.&amp;nbsp;

**Negotiation**

Buyers should get specific answers to the license cost, how it is priced, and if the data de-identification software is based on the dataset size, features, or execution. They must keep in mind the company’s data de-identification 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, the expected return on investment, and more. Ideally, the data team will make the final decision, alongside input from other stakeholders like software development teams.

### Data De-Identification Tools for Preserving Lineage Relationships in BI Analytics

According to G2 reviews, the most trusted data de-identification tools for preserving lineage relationships in BI analytics help teams anonymize, mask, synthesize, or protect sensitive data while keeping it useful for reporting, testing, analytics, AI workflows, and governed data sharing. These tools are recognized for data masking, anonymization, synthetic data generation, governance visibility, production-like data usability, and privacy-preserving analytics:

- [Tonic.ai](https://www.g2.com/products/tonic-ai/reviews): Supports large-scale data de-identification by helping teams sanitize production data while keeping it useful for engineering, analytics, AI training, demos, and testing. It is a strong fit for teams that need realistic, near-production datasets with sensitive information removed, especially when database schemas and recurring sanitization workflows need to be maintained.
- [SecuPi Platform](https://www.g2.com/products/secupi-platform/reviews): Offers strong data masking, anonymization, encryption, governance visibility, and centralized policy enforcement without requiring application code changes. It is well-suited for BI and data platform teams that need to protect sensitive fields while preserving access workflows, compliance controls, and visibility into how data is being used across databases, cloud platforms, and reporting environments.
- [Tumult Analytics](https://www.g2.com/products/tumult-analytics/reviews): Provides privacy-preserving analytics through differential privacy, aggregate query support, tabular data analysis, and secure release of insights from sensitive datasets. It is a good fit for analytics teams that need to generate reliable BI insights while reducing privacy risk, especially when the goal is to preserve analytical value rather than expose raw individual-level data.

### Data De-Identification Platforms for Tokenization, Hashing, and Synthetic Data Replacement and Masking

Based on G2 reviews, the most trusted data de-identification platforms for tokenization, hashing, synthetic data replacement, and masking help teams protect sensitive information while keeping data usable for analytics, testing, development, governance, and secure sharing. These tools are recognized for anonymization, tokenization, masking, encryption, production-data sanitization, and privacy-safe data replacement:

- [SecuPi Platform](https://www.g2.com/products/secupi-platform/reviews) **:** Supports data de-identification through anonymization, tokenization, masking, encryption, and policy-based access controls. It is a strong fit for teams that need to protect PII across databases, files, cloud data platforms, and BI consumption layers while preserving governance visibility and controlled access to sensitive data.
- [Tonic.ai](https://www.g2.com/products/tonic-ai/reviews) **:** Helps replace sensitive production data with de-identified, usable, production-like data for development, testing, demos, analytics, and AI workflows. It is well-suited for teams that need synthetic or sanitized data replacement while maintaining realistic data structure and utility for downstream use.
- [**Nymiz**](https://www.g2.com/products/nymiz/reviews) **:** Offers strong anonymization and data masking capabilities across structured and unstructured data. It is useful for compliance, privacy-safe sharing, and protecting sensitive customer or business information before it is used in external tools, analytics workflows, or collaborative environments.

### Easy-to-Set-Up Data De-Identification Platforms for Pilots Under 30 Days

The most trusted easy-to-set-up data de-identification platforms for short pilots help teams quickly protect sensitive data, validate masking or anonymization workflows, and generate secure test or analytics-ready datasets without long implementation cycles. Based on the G2 reviews, these tools stand out for ease of setup, fast implementation, practical usability, and pilot-friendly deployment:

- [PCI Vault](https://www.g2.com/products/pci-vault/reviews): Offers strong tokenization, encryption, PCI compliance support, and secure payment data handling with a very fast implementation experience. Reviewers highlighted ease of implementation, smooth integration, and the ability to start using the platform quickly, making it a strong fit for teams that need to validate tokenization or sensitive payment data protection in a short pilot window.
- [Redgate Data Masker](https://www.g2.com/products/redgate-data-masker/reviews): Supports fast data masking for test and QA environments, with reviewers noting that it is easy to use and can save significant time compared with manually creating or masking datasets. It is well-suited for teams that want to run a short proof of concept focused on replacing sensitive production data with safer test data in less than 30 days.
- [Tonic.ai](https://www.g2.com/products/tonic-ai/reviews): Helps teams anonymize, synthesize, and replace sensitive production data with realistic, usable datasets for development, testing, AI, and analytics workflows. Reviewers called out ease of use, helpful support, and use cases involving large-scale anonymized datasets, making it a relevant option for teams piloting privacy-safe data generation or de-identification workflows quickly.

### Top GDPR-Compliant Data De-Identification Solutions for PII Removal and Audit Trails

According to G2 reviews, the top GDPR-compliant data de-identification solutions for PII removal and audit trails help teams anonymize, mask, delete, or protect personal data while supporting compliance visibility, monitoring, reporting, and accountability. These tools stand out for GDPR support, PII anonymization, sensitive-data masking, auditability, real-time monitoring, and privacy-safe data handling:

- [SecuPi Platform](https://www.g2.com/products/secupi-platform/reviews): Offers strong GDPR-aligned data protection through PII anonymization, dynamic data masking, tokenization, encryption, real-time monitoring, and audit logging. It is a strong fit for organizations that need to protect sensitive data across databases, files, cloud platforms, and BI/reporting layers while preserving governance visibility and accountability through detailed audit trails.
- [Nymiz](https://www.g2.com/products/nymiz/reviews): Supports GDPR compliance by identifying, anonymizing, redacting, and masking sensitive personal data across documents and structured or unstructured content. It is well-suited for teams that need to remove or hide PII before storing, sharing, analyzing, or uploading documents into external tools, while keeping data useful for business workflows and reducing privacy risk.
- [GrowthDot GDPR Compliance for Zendesk](https://www.g2.com/products/growthdot-gdpr-compliance-for-zendesk/reviews): Helps teams manage GDPR requirements inside Zendesk by automating PII anonymization, deletion, and ticket-data cleanup. It is a good fit for customer support and CX teams that need to remove user data, reduce manual deletion work, keep Zendesk free of unnecessary PII, and support GDPR-driven retention or right-to-erasure workflows.




