# Best Data De-Identification Tools

## How Many Data De-Identification Tools Products Does G2 Track?

**Total Products under this Category:** 99

### Category Stats (Aug 2026)

- **Average Rating:** 4.44/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** GrowthDot GDPR Compliance for Zendesk (+1.06%) - Among all products in this category, GrowthDot GDPR Compliance for Zendesk recorded the largest rating increase compared to last month

_Last updated: August 01, 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
- 99+ 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.

## G2 Grid® for Data De-Identification Tools
 ![G2 Grid® for Data De-Identification Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/data-de-identification/grids.png?focus%5B%5D=116291&focus%5B%5D=127779&focus%5B%5D=160313&focus%5B%5D=112877&focus%5B%5D=124878&focus%5B%5D=115176&focus%5B%5D=150868&focus%5B%5D=1228333)

Highlighted products: IBM InfoSphere Optim Data Privacy, Tonic.ai, Tumult Analytics, VGS Platform, brighter AI, Informatica Data Security Cloud, Limina, and Evervault.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-de-identification/grids.json?focus%5B%5D=ibm-infosphere-optim-data-privacy&focus%5B%5D=tonic-ai&focus%5B%5D=tumult-analytics&focus%5B%5D=very-good-security-vgs-platform&focus%5B%5D=brighter-ai&focus%5B%5D=informatica-data-security-cloud&focus%5B%5D=limina&focus%5B%5D=evervault-2022-11-22)

### [IBM InfoSphere Optim Data Privacy](https://www.g2.com/es/products/ibm-infosphere-optim-data-privacy/reviews)

IBM InfoSphere Optim Data Privacy protege la privacidad y apoya el cumplimiento utilizando capacidades extensas para desidentificar información sensible en aplicaciones, bases de datos y sistemas operativos.

**Average Rating:** 4.6/5.0

**Total Reviews:** 47

#### How Do G2 Users Rate IBM InfoSphere Optim Data Privacy?

- **Facilidad de uso:** 8.9/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 9.8/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 9.4/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 9.6/10 (Category avg: 9.1/10)

#### Who Is the Company Behind IBM InfoSphere Optim Data Privacy?

- **Vendedor:** [IBM](https://www.g2.com/es/sellers/ibm)
- **Año de fundación:** 1911
- **Ubicación de la sede:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 empleados en LinkedIn®
- **Propiedad:** SWX:IBM

#### Who Uses This Product?

- **Top Industries:** Tecnología de la información y servicios, Gestión Educativa
- **Company Size:** 50% Medium, 29% Small

#### What Are Recent G2 Reviews of IBM InfoSphere Optim Data Privacy?

**["Mejorando el Rendimiento y la Colaboración con la Solución IBM InfoSphere Optim"](https://www.g2.com/es/survey_responses/ibm-infosphere-optim-data-privacy-review-8440910)**

**Rating:** 5.0/5.0 stars

_— Shanmukha C._

[Read full review](https://www.g2.com/es/survey_responses/ibm-infosphere-optim-data-privacy-review-8440910)

**["Gestión Eficiente de Datos para el Éxito Empresarial: Optimice con IBM InfoSphere Optim"](https://www.g2.com/es/survey_responses/ibm-infosphere-optim-data-privacy-review-8307593)**

**Rating:** 5.0/5.0 stars

_— srinivas i._

[Read full review](https://www.g2.com/es/survey_responses/ibm-infosphere-optim-data-privacy-review-8307593)

### [Tonic.ai](https://www.g2.com/es/products/tonic-ai/reviews)

Tonic.ai libera a los desarrolladores para construir con datos sintéticos seguros y de alta fidelidad para acelerar la innovación en software e inteligencia artificial mientras protege la privacidad de los datos. A través de soluciones líderes en la industria para la síntesis de datos, desidentificación y segmentación, nuestros productos permiten el acceso bajo demanda a datos realistas estructurados, semiestructurados y no estructurados para el desarrollo de software, pruebas y entrenamiento de modelos de IA. La suite de productos incluye: - Tonic Fabricate para datos sintéticos impulsados por IA desde cero - Tonic Structural para la gestión moderna de datos de prueba - Tonic Textual para la redacción y síntesis de datos no estructurados. Desbloquea la innovación, elimina colisiones en las pruebas, acelera tu velocidad de ingeniería y lanza mejores productos, todo mientras proteges la privacidad de los datos. Fundada en 2018, con oficinas en San Francisco, Atlanta, Nueva York y Londres, la empresa está liderando herramientas empresariales para la síntesis y desidentificación de datos en su misión de desbloquear la innovación con datos utilizables. Miles de desarrolladores utilizan datos generados con la plataforma Tonic.ai a diario para construir productos y entrenar modelos más rápido en industrias tan diversas como la salud, servicios financieros, seguros, logística, tecnología educativa y comercio electrónico. Trabajando con clientes como Comcast, eBay, UnitedHealthcare y Fidelity Investments, Tonic.ai construye soluciones para desarrolladores para avanzar en sus objetivos de abogar por la privacidad de los individuos mientras permite a las empresas hacer su mejor trabajo. Sé libre de construir con datos sintéticos de alta fidelidad para el desarrollo de software e IA.

**Average Rating:** 4.2/5.0

**Total Reviews:** 38

#### How Do G2 Users Rate Tonic.ai?

- **Facilidad de uso:** 8.1/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 9.3/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 8.8/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 9.3/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Tonic.ai?

- **Vendedor:** [Tonic.ai](https://www.g2.com/es/sellers/tonic-ai)
- **Año de fundación:** 2018
- **Ubicación de la sede:** San Francisco, California
- **Twitter:** @tonicfakedata  
698 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=37f7574472c5ef652000379b35295af9c67e86a59000aa1a99ab5e8551fd955f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18621512&secure%5Burl_type%5D=linkedin_company_website)  
104 empleados en LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Software de Computadora, Servicios Financieros
- **Company Size:** 45% Medium, 32% Small

#### What Are Recent G2 Reviews of Tonic.ai?

**["Anonimización confiable de texto no estructurado sin perder el contexto"](https://www.g2.com/es/survey_responses/tonic-ai-review-12025321)**

**Rating:** 4.5/5.0 stars

_— Ankit S._

[Read full review](https://www.g2.com/es/survey_responses/tonic-ai-review-12025321)

**["Generación de Datos de Prueba Excepcionales para una Depuración Segura y Realista"](https://www.g2.com/es/survey_responses/tonic-ai-review-11913479)**

**Rating:** 5.0/5.0 stars

_— Usuario verificado en Servicios Financieros_

[Read full review](https://www.g2.com/es/survey_responses/tonic-ai-review-11913479)

### [Tumult Analytics](https://www.g2.com/es/products/tumult-analytics/reviews)

Tumult Analytics es una avanzada biblioteca de Python de código abierto diseñada para facilitar el despliegue de la privacidad diferencial en el análisis de datos. Permite a las organizaciones generar resúmenes estadísticos a partir de conjuntos de datos sensibles mientras se asegura que se mantenga la privacidad individual. Confiada por instituciones como la Oficina del Censo de los EE. UU., la Fundación Wikimedia y el Servicio de Impuestos Internos, Tumult Analytics ofrece una solución robusta y escalable para el análisis de datos preservando la privacidad. Características y Funcionalidades Clave: - Robusta y Lista para Producción: Desarrollada y mantenida por un equipo de expertos en privacidad diferencial, Tumult Analytics está construida para entornos de producción y ha sido implementada por importantes instituciones. - Escalable: Operando sobre Apache Spark, procesa eficientemente conjuntos de datos que contienen miles de millones de filas, haciéndola adecuada para tareas de análisis de datos a gran escala. - APIs Amigables para el Usuario: La plataforma proporciona APIs de Python que son familiares para los usuarios de Pandas y PySpark, facilitando la adopción e integración fácil en flujos de trabajo existentes. - Funcionalidad Integral: Soporta una amplia gama de funciones de agregación, operadores de transformación de datos y definiciones de privacidad, permitiendo un análisis de datos flexible y poderoso bajo múltiples modelos de privacidad. Valor Principal y Problema Resuelto: Tumult Analytics aborda el desafío crítico de extraer valiosos conocimientos de datos sensibles sin comprometer la privacidad individual. Al implementar privacidad diferencial, asegura que el riesgo de reidentificación se minimice, permitiendo a las organizaciones compartir y analizar datos de manera responsable. Esta capacidad es particularmente vital para sectores que manejan información sensible, como instituciones públicas, salud y finanzas, donde mantener la privacidad de los datos es tanto un requisito regulatorio como una obligación ética.

**Average Rating:** 4.4/5.0

**Total Reviews:** 38

#### How Do G2 Users Rate Tumult Analytics?

- **Facilidad de uso:** 8.6/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 8.8/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 8.8/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 8.5/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Tumult Analytics?

- **Vendedor:** [Tumult Labs, Inc.](https://www.g2.com/es/sellers/tumult-labs-inc)
- **Año de fundación:** 2019
- **Ubicación de la sede:** Durham
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=82b33861a6440e7a81538c24e0f6029768bdd3af543f5f5a0f1577f069ab29f0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftmltlabs&secure%5Burl_type%5D=linkedin_company_website)  
3 empleados en LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Tecnología de la información y servicios
- **Company Size:** 50% Small, 32% Medium

#### What Are Recent G2 Reviews of Tumult Analytics?

**["Una plataforma amigable y altamente segura."](https://www.g2.com/es/survey_responses/tumult-analytics-review-10303460)**

**Rating:** 5.0/5.0 stars

_— Swathi K._

[Read full review](https://www.g2.com/es/survey_responses/tumult-analytics-review-10303460)

**["Agregación de estadísticas facilitada con un marco listo para la privacidad y la producción"](https://www.g2.com/es/survey_responses/tumult-analytics-review-11461269)**

**Rating:** 5.0/5.0 stars

_— Jai A._

[Read full review](https://www.g2.com/es/survey_responses/tumult-analytics-review-11461269)

### [VGS Platform](https://www.g2.com/es/products/very-good-security-vgs-platform/reviews)

Very Good Security ("VGS") facilita a los clientes la recopilación, protección y compartición de datos financieros sensibles de una manera que acelera los ingresos, elimina riesgos, asegura el cumplimiento y aumenta la rentabilidad. VGS asegura esa información en un almacén de tokens cifrados, permitiendo a nuestros clientes reducir el riesgo de su entorno técnico y obtener certificaciones de cumplimiento como PCI DSS, SOC 2, GDPR y más, más rápidamente. VGS ofrece una solución moderna para recopilar, proteger e intercambiar datos sensibles que abarca desde la privacidad de los datos hasta la aceptación de pagos y la emisión de tarjetas; proporcionando a las empresas tokenización, cumplimiento PCI, seguridad de datos, opcionalidad de procesadores y la capacidad de operar con esos datos sin comprometer su postura de seguridad. VGS ofrece una solución moderna de seguridad de pagos que otorga a las empresas propiedad y control sobre datos de clientes críticamente valiosos, otorgándoles máxima portabilidad, operatividad y extracción de valor. Los clientes de VGS desacoplan el valor y la utilidad de los datos de los riesgos asociados de seguridad y cumplimiento, y permiten a los clientes lograr un cumplimiento continuo de PCI DSS 16 veces más rápido, a un 25% del costo de un enfoque DIY.

**Average Rating:** 4.7/5.0

**Total Reviews:** 46

#### How Do G2 Users Rate VGS Platform?

- **Facilidad de uso:** 9.4/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 10.0/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 8.3/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 10.0/10 (Category avg: 9.1/10)

#### Who Is the Company Behind VGS Platform?

- **Vendedor:** [Very Good Security](https://www.g2.com/es/sellers/very-good-security)
- **Año de fundación:** 2015
- **Ubicación de la sede:** San Francisco, California
- **Twitter:** @getvgs  
1,437 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1c0b26a8b17a28cd55a61ed5fe6f1894df1002f2da3ab212540a9a799c5ebd44&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18142614%2F&secure%5Burl_type%5D=linkedin_company_website)  
480 empleados en LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Ingeniero de software
- **Top Industries:** Servicios Financieros, Banca
- **Company Size:** 51% Medium, 45% Small

#### What Are Recent G2 Reviews of VGS Platform?

**["Integración directa"](https://www.g2.com/es/survey_responses/vgs-platform-review-5286241)**

**Rating:** 5.0/5.0 stars

_— Vu K._

[Read full review](https://www.g2.com/es/survey_responses/vgs-platform-review-5286241)

**["Excelente solución de seguridad y cumplimiento."](https://www.g2.com/es/survey_responses/vgs-platform-review-9887631)**

**Rating:** 5.0/5.0 stars

_— Luiz Gustavo F._

[Read full review](https://www.g2.com/es/survey_responses/vgs-platform-review-9887631)

#### What Are G2 Users Discussing About VGS Platform?

- [¿Para qué se utiliza la plataforma VGS?](https://www.g2.com/es/discussions/what-is-vgs-platform-used-for)

### [brighter AI](https://www.g2.com/es/products/brighter-ai/reviews)

Protege identidades. Preserva la calidad de los datos. Innova más rápido. brighter AI ofrece el software de anonimización de imágenes y videos más avanzado del mundo. Ayudamos a las organizaciones a convertir datos personales en activos utilizables y conformes para análisis y aprendizaje automático. Nuestras soluciones de aprendizaje profundo aseguran el cumplimiento total con GDPR, CCPA y APPI al proteger identidades en espacios públicos, todo sin comprometer la calidad de los datos necesaria para el análisis de video. Privacidad y rendimiento, combinados.

**Average Rating:** 4.5/5.0

**Total Reviews:** 23

#### How Do G2 Users Rate brighter AI?

- **Facilidad de uso:** 8.9/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 9.3/10 (Category avg: 9.2/10)
- **Cumple con la CCPA:** 9.7/10 (Category avg: 9.1/10)

#### Who Is the Company Behind brighter AI?

- **Vendedor:** [BrighterAi](https://www.g2.com/es/sellers/brighterai)
- **Año de fundación:** 2017
- **Ubicación de la sede:** Berlin, Germany
- **Twitter:** @brighterAI  
632 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2eaac2a3023d9ee5361a6e22a41e42c21e3ed69ee5983ba0980d4685bb41f081&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18144227&secure%5Burl_type%5D=linkedin_company_website)  
30 empleados en LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Tecnología de la información y servicios
- **Company Size:** 48% Small, 26% Medium

#### What Do G2 Reviewers Say About brighter AI?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios valoran la **Anonimización Natural Profunda** por preservar los detalles de manera realista, permitiendo un uso más seguro de los datos visuales sin pérdida de contexto.
- Los usuarios aprecian las **características avanzadas de privacidad de datos** de Brighter AI, asegurando el cumplimiento y el reemplazo realista de identidad sin perder el contexto.
- Los usuarios encuentran que la **facilidad de configuración** de Brighter AI es sencilla y bien guiada para una integración sin problemas.
- Los usuarios aprecian la característica de **Anonimización Natural Profunda** de Brighter AI, asegurando un reemplazo de identidad realista mientras se mantiene el contexto.

##### Cons

- Los usuarios encuentran que la configuración de brighter AI es **compleja y requiere mucho tiempo** , especialmente para los recién llegados a las herramientas de privacidad.
- Los usuarios encuentran que la **falta de orientación** para comenzar con Brighter AI puede ser abrumadora y consumir mucho tiempo.
- Los usuarios encuentran **la experiencia del usuario desafiante** , ya que requiere tiempo para navegar y entender la configuración compleja.

#### What Are Recent G2 Reviews of brighter AI?

**["Anonimización innovadora con cumplimiento de privacidad"](https://www.g2.com/es/survey_responses/brighter-ai-review-12222728)**

**Rating:** 4.0/5.0 stars

_— Shubham S._

[Read full review](https://www.g2.com/es/survey_responses/brighter-ai-review-12222728)

**["Brighter AI es el próximo RPA que protege la identidad."](https://www.g2.com/es/survey_responses/brighter-ai-review-7410795)**

**Rating:** 4.5/5.0 stars

_— Sachidananda C._

[Read full review](https://www.g2.com/es/survey_responses/brighter-ai-review-7410795)

### [Informatica Data Security Cloud](https://www.g2.com/es/products/informatica-data-security-cloud/reviews)

Informatica Data Security Cloud is a comprehensive solution designed to protect sensitive and private data, enhance compliance, and enforce data usage policies without requiring changes to existing applications. By leveraging advanced data masking and anonymization techniques, it ensures that critical information remains secure across various environments, including testing, development, analytics, and customer experience programs. This cloud-native service integrates seamlessly with Informatica's Intelligent Data Management Cloud, providing a holistic approach to data governance and privacy. Key Features and Functionality: - Cloud Data Masking: De-identifies and anonymizes sensitive data to prevent unauthorized access, supporting compliance and data security initiatives. - High-Performance Data Masking: Centrally manages and scales masking processes for large data volumes across diverse data stores and locations. - Robust Data Masking and Encryption: Utilizes various techniques such as substitution, format-preserving encryption (FPE, blurring, sequential, and randomization to protect data. - Broad Connectivity and Custom Application Support: Supports data masking across multiple formats and a wide range of databases, mainframes, and applications. - Automated Data Discovery: Identifies sensitive data locations quickly, ensuring consistent masking across databases. - Self-Service Data Warehouse: Stores, augments, shares, and reuses test datasets to improve testers’ efficiency. - Data Subset: Provisions smaller datasets to minimize infrastructure requirements and enhance performance. - Monitoring and Reporting: Engages risk, compliance, and audit teams to align with data governance initiatives. Primary Value and User Solutions: Informatica Data Security Cloud addresses the critical need for organizations to protect sensitive data while maintaining operational efficiency. By anonymizing and de-sensitizing data, it reduces the risk of data breaches and ensures compliance with data privacy regulations. The solution's ability to manage and scale data masking processes across various environments allows businesses to securely utilize data in testing, development, analytics, and customer experience initiatives without compromising data integrity or security. This empowers organizations to confidently share and use data, fostering innovation and informed decision-making.

**Average Rating:** 4.0/5.0

**Total Reviews:** 45

#### How Do G2 Users Rate Informatica Data Security Cloud?

- **Facilidad de uso:** 8.1/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 8.3/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 8.7/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 8.0/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Informatica Data Security Cloud?

- **Vendedor:** [Informatica](https://www.g2.com/es/sellers/informatica)
- **Año de fundación:** 1993
- **Ubicación de la sede:** Redwood City, CA
- **Twitter:** @Informatica  
99,643 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06f93f9659c25422bea5c34037117512928a659c5d640bb989ed85a85cdb1252&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3858%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,802 empleados en LinkedIn®
- **Propiedad:** NYSE: INFA

#### Who Uses This Product?

- **Top Industries:** Tecnología de la información y servicios, Seguridad de Redes y Computadoras
- **Company Size:** 40% Large, 33% Small

#### What Are Recent G2 Reviews of Informatica Data Security Cloud?

**["La nube de seguridad de datos de Informatica redefine la gestión de datos."](https://www.g2.com/es/survey_responses/informatica-data-security-cloud-review-6936577)**

**Rating:** 5.0/5.0 stars

_— Danielle L._

[Read full review](https://www.g2.com/es/survey_responses/informatica-data-security-cloud-review-6936577)

**["Plataforma excelente para la amortización de datos."](https://www.g2.com/es/survey_responses/informatica-data-security-cloud-review-7030044)**

**Rating:** 4.5/5.0 stars

_— Leonardo J. B._

[Read full review](https://www.g2.com/es/survey_responses/informatica-data-security-cloud-review-7030044)

### [Limina](https://www.g2.com/es/products/limina/reviews)

Limina es una plataforma empresarial de desidentificación que detecta y elimina PII, PHI y PCI de datos no estructurados sin eliminar el contexto que los hace valiosos. A diferencia de las herramientas de coincidencia de patrones que sobre-redactan, Limina utiliza aprendizaje automático consciente del contexto para identificar información sensible de la manera en que lo haría un humano capacitado. Por eso logra menos de la mitad de la tasa de error de AWS Comprehend, Google DLP y Microsoft Presidio en datos del mundo real. Qué Detecta Limina Más de 50 tipos de entidades a través de PII, PHI y PCI: nombres, SSNs, números de tarjetas de crédito, condiciones médicas, medicamentos, números de pasaporte y variantes internacionales, en 52 idiomas, incluidos inglés, francés, alemán, español, japonés y mandarín. Cómo se Implementa Limina se implementa como un contenedor autoalojado a través de REST API. Tus datos se procesan completamente dentro de tu propia infraestructura, nunca se transmiten a Limina ni a ningún tercero. Disponible como una versión de CPU para implementaciones estándar o una versión de GPU para cargas de trabajo en tiempo real y de alto rendimiento. Generación de Datos Sintéticos Limina puede reemplazar PII detectada con datos sintéticos que se ajustan al contexto circundante, preservando la integridad estadística y lingüística de tu conjunto de datos para el entrenamiento de IA, análisis y compartición con socios. Los modelos de Limina son construidos y mantenidos por un equipo de lingüistas, anotadores de datos y expertos en privacidad, y se actualizan continuamente para reflejar las regulaciones de privacidad globales en evolución. Comienza Ahora Prueba la demostración de texto: https://docs.getlimina.ai/demo/text Prueba la demostración de archivo: https://docs.getlimina.ai/demo/file Obtén una clave API gratuita: https://portal.getlimina.ai/

**Average Rating:** 4.6/5.0

**Total Reviews:** 21

#### How Do G2 Users Rate Limina?

- **Facilidad de uso:** 9.4/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 9.2/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 8.9/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 8.6/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Limina?

- **Vendedor:** [Limina](https://www.g2.com/es/sellers/limina)
- **Año de fundación:** 2019
- **Ubicación de la sede:** Toronto, CA
- **Twitter:** @PrivateAI  
1 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=baf9011fd5f79856b55302560708fa65ecbc75368963242cd3c652a8e0774c00&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fprivate-ai&secure%5Burl_type%5D=linkedin_company_website)  
149 empleados en LinkedIn®

#### Who Uses This Product?

- **Company Size:** 36% Small, 36% Medium

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

**["3. líneas.de.código."](https://www.g2.com/es/survey_responses/limina-review-9125360)**

**Rating:** 5.0/5.0 stars

_— Jennifer A._

[Read full review](https://www.g2.com/es/survey_responses/limina-review-9125360)

**["Private-AI eleva el estándar en protección de datos."](https://www.g2.com/es/survey_responses/limina-review-9398417)**

**Rating:** 5.0/5.0 stars

_— Alicia D._

[Read full review](https://www.g2.com/es/survey_responses/limina-review-9398417)

### [Evervault](https://www.g2.com/es/products/evervault-2022-11-22/reviews)

Evervault es una plataforma orientada a desarrolladores que ayuda a los proveedores de pagos y comerciantes a recopilar, procesar y compartir datos sensibles de los titulares de tarjetas sin exponerlos nunca en texto plano. Sus bloques de construcción modulares están diseñados para resolver desafíos de seguridad de pagos, cumplimiento de PCI y protección de datos con un esfuerzo mínimo de ingeniería. La plataforma utiliza un modelo de cifrado de doble custodia: Evervault almacena las claves de cifrado, mientras que los clientes almacenan los datos cifrados. Esta separación reduce drásticamente el riesgo de violaciones y mejora el rendimiento. Los desarrolladores pueden cifrar los datos en el punto de recopilación y mantenerlos cifrados durante todo su ciclo de vida utilizando SDKs y APIs simples. Para los pagos, Evervault tokeniza los detalles de la tarjeta al capturarlos, manteniendo a los comerciantes fuera del alcance de PCI DSS. Estos tokens pueden enviarse a cualquier PSP, ofreciendo flexibilidad en el enrutamiento y simplificando el cumplimiento. Evervault también ofrece productos independientes, como 3D Secure y Network Tokens, proporcionando a los equipos más control sobre los flujos de autenticación y la optimización de pagos.

**Average Rating:** 4.4/5.0

**Total Reviews:** 17

#### How Do G2 Users Rate Evervault?

- **Facilidad de uso:** 9.0/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 9.0/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 9.2/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 8.9/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Evervault?

- **Vendedor:** [Evervault](https://www.g2.com/es/sellers/evervault-db9d562a-5ceb-48d9-853a-0ed902b2b5e1)
- **Año de fundación:** 2019
- **Ubicación de la sede:** Dublin, IE
- **Twitter:** @evervault  
3,248 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1b246e618b59d873855d39ad99cf1fd2f7ee4f4b181a1bd418e0fce462b578e7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fevervault%2F&secure%5Burl_type%5D=linkedin_company_website)  
39 empleados en LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Software de Computadora
- **Company Size:** 59% Small, 29% Medium

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

**["Buena herramienta para cifrar datos"](https://www.g2.com/es/survey_responses/evervault-review-8196525)**

**Rating:** 4.0/5.0 stars

_— Jhony R._

[Read full review](https://www.g2.com/es/survey_responses/evervault-review-8196525)

**["Evervault: Simplificación del Manejo Seguro de Datos Sensibles de Usuarios"](https://www.g2.com/es/survey_responses/evervault-review-8251155)**

**Rating:** 4.5/5.0 stars

_— Tapash S._

[Read full review](https://www.g2.com/es/survey_responses/evervault-review-8251155)

### [Privacy Vault](https://www.g2.com/es/products/privacy-vault/reviews)

PRIVACY VAULT está destinado a apoyar a las industrias que recopilan y procesan perfiles personales, actividad de consumidores de alta velocidad y datos de IoT, además de documentos no estructurados, imágenes, voz y video.

**Average Rating:** 4.2/5.0

**Total Reviews:** 20

#### How Do G2 Users Rate Privacy Vault?

- **Facilidad de uso:** 8.6/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 8.0/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 8.3/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 8.0/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Privacy Vault?

- **Vendedor:** [ContextSpace](https://www.g2.com/es/sellers/contextspace)
- **Año de fundación:** 2015
- **Ubicación de la sede:** Petach Tikvah, Israel
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=afb16a5e4b4e4ea13f583117e9a3d18da459c89d7f8cc1f88c5d83126ec214e0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F51621389&secure%5Burl_type%5D=linkedin_company_website)  
1 empleados en LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Tecnología de la información y servicios
- **Company Size:** 48% Small, 38% Large

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

**["La bóveda de privacidad es un gran beneficio y ayuda a mantener mis datos seguros y privados."](https://www.g2.com/es/survey_responses/privacy-vault-review-7851040)**

**Rating:** 4.5/5.0 stars

_— Abdullah K._

[Read full review](https://www.g2.com/es/survey_responses/privacy-vault-review-7851040)

**["La bóveda de privacidad es una aplicación diseñada para mejorar la privacidad y la seguridad para proteger los datos."](https://www.g2.com/es/survey_responses/privacy-vault-review-8897926)**

**Rating:** 4.0/5.0 stars

_— Rahul M._

[Read full review](https://www.g2.com/es/survey_responses/privacy-vault-review-8897926)

### [Privacy1](https://www.g2.com/es/products/privacy1/reviews)

Privacy1 es una empresa de software en Estocolmo y Londres que desarrolla tecnologías para la gestión práctica de datos personales. Nuestra misión es ser un facilitador para hacer que la protección de datos sea más fácil y accesible para empresas y organizaciones de todos los tamaños. Nuestra solución de privacidad de confianza cero le permite proteger los datos personales reales en su entorno, lo que le ayuda a prevenir violaciones y controlar los flujos de datos hacia procesadores transfronterizos. Nuestra suite de cumplimiento de GDPR proporciona todos los componentes que las empresas necesitan como estándar, incluyendo mapeo de datos, Pre DPIA, evaluación de impacto completa, gestión de cookies, gestión de políticas de privacidad y gobernanza. Nuestro Privacy Navigator es único y le ayudará a identificar riesgos, brechas de cumplimiento y agujeros en su postura de privacidad en toda la empresa, le ofrece un plan para resolverlos y una plataforma para mejorar iterativamente la madurez y demostrar responsabilidad, incluso si no es un experto en GDPR. Con una visión de proporcionar soluciones para ayudar a empresas y gobiernos a proteger datos personales, gestionar su cumplimiento y demostrar responsabilidad para asegurar que puedan cumplir sus promesas de privacidad y cumplir con las obligaciones regulatorias. Privacy1 se trata de construir confianza a través de mejores prácticas de privacidad de datos y tecnología para el beneficio de todos.

**Average Rating:** 4.4/5.0

**Total Reviews:** 87

#### How Do G2 Users Rate Privacy1?

- **Facilidad de uso:** 8.6/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 9.8/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 8.6/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 9.3/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Privacy1?

- **Vendedor:** [Privacy1](https://www.g2.com/es/sellers/privacy1)
- **Año de fundación:** 2018
- **Ubicación de la sede:** Stockholm, SE
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6dba115cfd283ad19fc295cf7107383fc730b98c4185cc002ca318a744e667e6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F35437546&secure%5Burl_type%5D=linkedin_company_website)  
2 empleados en LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Software de Computadora, Tecnología de la información y servicios
- **Company Size:** 38% Small, 34% Medium

#### What Are Recent G2 Reviews of Privacy1?

**["Seguridad de Datos Asegurada"](https://www.g2.com/es/survey_responses/privacy1-review-8285389)**

**Rating:** 4.5/5.0 stars

_— Chinmay B._

[Read full review](https://www.g2.com/es/survey_responses/privacy1-review-8285389)

**["Mejor producto en el mercado y altamente recomendado."](https://www.g2.com/es/survey_responses/privacy1-review-7327405)**

**Rating:** 4.0/5.0 stars

_— Nagraj T._

[Read full review](https://www.g2.com/es/survey_responses/privacy1-review-7327405)

#### What Are G2 Users Discussing About Privacy1?

- [What are the benefits and challenges of using Privacy1 for data privacy management?](https://www.g2.com/es/discussions/what-are-the-benefits-and-challenges-of-using-privacy1-for-data-privacy-management)

### [Informatica Dynamic Data Masking](https://www.g2.com/es/products/informatica-dynamic-data-masking/reviews)

Seguridad de datos y privacidad para datos en uso por aplicaciones tanto críticas para la misión como de línea de negocio.

**Average Rating:** 4.4/5.0

**Total Reviews:** 20

#### How Do G2 Users Rate Informatica Dynamic Data Masking?

- **Facilidad de uso:** 8.6/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 8.3/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 7.9/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 8.6/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Informatica Dynamic Data Masking?

- **Vendedor:** [Informatica](https://www.g2.com/es/sellers/informatica)
- **Año de fundación:** 1993
- **Ubicación de la sede:** Redwood City, CA
- **Twitter:** @Informatica  
99,643 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06f93f9659c25422bea5c34037117512928a659c5d640bb989ed85a85cdb1252&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3858%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,802 empleados en LinkedIn®
- **Propiedad:** NYSE: INFA

#### Who Uses This Product?

- **Top Industries:** Tecnología de la información y servicios
- **Company Size:** 50% Large, 27% Small

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

**["Protección de Datos: Desentrañando las capacidades de Informatica Dynamic Data Masking"](https://www.g2.com/es/survey_responses/informatica-dynamic-data-masking-review-8204522)**

**Rating:** 4.5/5.0 stars

_— Amruta P._

[Read full review](https://www.g2.com/es/survey_responses/informatica-dynamic-data-masking-review-8204522)

**["Protección de Datos Sin Igual: Las Mejores Características de Informatica Dynamic Data Masking"](https://www.g2.com/es/survey_responses/informatica-dynamic-data-masking-review-8181822)**

**Rating:** 5.0/5.0 stars

_— Joseph M._

[Read full review](https://www.g2.com/es/survey_responses/informatica-dynamic-data-masking-review-8181822)

#### What Are G2 Users Discussing About Informatica Dynamic Data Masking?

- [¿Para qué se utiliza el enmascaramiento dinámico de datos de Informatica?](https://www.g2.com/es/discussions/what-is-informatica-dynamic-data-masking-used-for)

### [Kiprotect](https://www.g2.com/es/products/kiprotect/reviews)

KIProtect facilita garantizar el cumplimiento y la seguridad al trabajar con datos sensibles o personales.

**Average Rating:** 4.3/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate Kiprotect?

- **Facilidad de uso:** 9.1/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 9.2/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 8.8/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 9.0/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Kiprotect?

- **Vendedor:** [Kiprotect](https://www.g2.com/es/sellers/kiprotect)
- **Año de fundación:** 2018
- **Ubicación de la sede:** Berlin, DE
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2403434d6a4ba7ad07712637c9258e803dfdb614e9461865c5df66ca1ab08170&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F11751103&secure%5Burl_type%5D=linkedin_company_website)  
2 empleados en LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Tecnología de la información y servicios
- **Company Size:** 43% Small, 39% Medium

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

**["Kiprotect Seguridad en Línea"](https://www.g2.com/es/survey_responses/kiprotect-review-8558629)**

**Rating:** 5.0/5.0 stars

_— Deepansh K._

[Read full review](https://www.g2.com/es/survey_responses/kiprotect-review-8558629)

**["Protege tus datos y cumple con KiProtect."](https://www.g2.com/es/survey_responses/kiprotect-review-8251765)**

**Rating:** 4.0/5.0 stars

_— Jagadis P._

[Read full review](https://www.g2.com/es/survey_responses/kiprotect-review-8251765)

### [Mage Privacy Enhancing Technologies](https://www.g2.com/es/products/mage-privacy-enhancing-technologies/reviews)

Descubrimiento de Datos Sensibles, Enmascaramiento de Datos. Controles de Acceso.

**Average Rating:** 4.4/5.0

**Total Reviews:** 20

#### How Do G2 Users Rate Mage Privacy Enhancing Technologies?

- **Facilidad de uso:** 8.1/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 7.5/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 7.8/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 8.3/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Mage Privacy Enhancing Technologies?

- **Vendedor:** [Mage](https://www.g2.com/es/sellers/mage-9e06db3d-e432-4799-9fcf-e9d9c898f1dd)
- **Año de fundación:** 2014
- **Ubicación de la sede:** New York, NY
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f95ae57ff6d563da947c1e7d63c35cb3ca989123cd72fce61081c43cbcf46e38&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F217968&secure%5Burl_type%5D=linkedin_company_website)  
82 empleados en LinkedIn®

#### Who Uses This Product?

- **Company Size:** 60% Small, 30% Medium

#### What Are Recent G2 Reviews of Mage Privacy Enhancing Technologies?

**["Mage Tecnologías de Mejora de la Privacidad - El control completo sobre tus datos"](https://www.g2.com/es/survey_responses/mage-privacy-enhancing-technologies-review-7166008)**

**Rating:** 4.5/5.0 stars

_— NIKHIL N._

[Read full review](https://www.g2.com/es/survey_responses/mage-privacy-enhancing-technologies-review-7166008)

**["Acerca de las Tecnologías de Mejora de la Privacidad de Mage"](https://www.g2.com/es/survey_responses/mage-privacy-enhancing-technologies-review-7119639)**

**Rating:** 5.0/5.0 stars

_— Vilayath k._

[Read full review](https://www.g2.com/es/survey_responses/mage-privacy-enhancing-technologies-review-7119639)

### [Aircloak Insights](https://www.g2.com/es/products/aircloak-insights/reviews)

Aircloak permite a las organizaciones obtener conocimientos flexibles y seguros sobre conjuntos de datos sensibles a través de un motor de anonimización inteligente, automático y bajo demanda. Garantiza el cumplimiento tanto para analistas internos como para socios o clientes externos.

**Average Rating:** 4.4/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate Aircloak Insights?

- **Facilidad de uso:** 8.0/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 8.3/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 7.0/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 8.3/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Aircloak Insights?

- **Vendedor:** [Aircloak](https://www.g2.com/es/sellers/aircloak)
- **Año de fundación:** 2012
- **Ubicación de la sede:** Berlin, Germany
- **Twitter:** @aircloak  
463 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f066cf406e5ac5c219f8bc38e2d3798d387e9779f411f81ab314d3dbbe2252b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3543896&secure%5Burl_type%5D=linkedin_company_website)  
1 empleados en LinkedIn®

#### Who Uses This Product?

- **Company Size:** 45% Medium, 27% Large

#### What Are Recent G2 Reviews of Aircloak Insights?

**["Aircloak Insights - Una herramienta de análisis ad hoc para organizaciones sensibles a los datos"](https://www.g2.com/es/survey_responses/aircloak-insights-review-6964830)**

**Rating:** 4.0/5.0 stars

_— Rakesh S._

[Read full review](https://www.g2.com/es/survey_responses/aircloak-insights-review-6964830)

**["Información valiosa de datos"](https://www.g2.com/es/survey_responses/aircloak-insights-review-7141805)**

**Rating:** 4.5/5.0 stars

_— Ujjawal T._

[Read full review](https://www.g2.com/es/survey_responses/aircloak-insights-review-7141805)

### [KIProtect Kodex](https://www.g2.com/es/products/kiprotect-kodex/reviews)

La anonimización de datos es un tipo de saneamiento de información para proteger la privacidad. Es el proceso de cifrar o eliminar información personalmente identificable de un conjunto de datos para que las personas a las que describen los datos permanezcan anónimas.

**Average Rating:** 4.3/5.0

**Total Reviews:** 9

#### How Do G2 Users Rate KIProtect Kodex?

- **Facilidad de uso:** 8.5/10 (Category avg: 8.9/10)
- **Compatible con GDPR:** 9.0/10 (Category avg: 9.2/10)
- **Sedonimización estática:** 7.5/10 (Category avg: 9.0/10)
- **Cumple con la CCPA:** 8.3/10 (Category avg: 9.1/10)

#### Who Is the Company Behind KIProtect Kodex?

- **Vendedor:** [KIProtect](https://www.g2.com/es/sellers/kiprotect-01623a8a-de09-4501-80da-42282e597c66)
- **Año de fundación:** 2011
- **Ubicación de la sede:** Green Bay, WI
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1db96dbcf6cfe0c8c2b84d1f9ed0351b2b6ce3a5a13a11059ffe92000cf9cb2e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkidesignio%2F&secure%5Burl_type%5D=linkedin_company_website)  
10 empleados en LinkedIn®

#### Who Uses This Product?

- **Company Size:** 78% Medium, 22% Small

#### What Are Recent G2 Reviews of KIProtect Kodex?

**["KIProtect Kodex para cifrado y seguridad de datos"](https://www.g2.com/es/survey_responses/kiprotect-kodex-review-9706657)**

**Rating:** 4.0/5.0 stars

_— Arun K._

[Read full review](https://www.g2.com/es/survey_responses/kiprotect-kodex-review-9706657)

**["Borrando detalles personales de mis conjuntos de datos"](https://www.g2.com/es/survey_responses/kiprotect-kodex-review-9847854)**

**Rating:** 4.0/5.0 stars

_— Vlora T._

[Read full review](https://www.g2.com/es/survey_responses/kiprotect-kodex-review-9847854)

#### What Are G2 Users Discussing About KIProtect Kodex?

- [¿Para qué se utiliza KIProtect Kodex?](https://www.g2.com/es/discussions/what-is-kiprotect-kodex-used-for)

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- [Other Privacy](/categories/other-privacy)
- [Privacy Impact Assessment (PIA)](/categories/privacy-impact-assessment-pia)

- [Privacy Policy Generator](/categories/privacy-policy-generator)
- [Sensitive Data Discovery](/categories/sensitive-data-discovery)
- [Website Privacy Auditing Tools](/categories/website-privacy-auditing-tools)

 ![Brandon Summers-Miller](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Brandon Summers-Miller")
BS

Researched and written by [Brandon Summers-Miller](https://research.g2.com/insights/author/brandon-summers-miller)

Updated October 3, 2024

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

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## 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](https://www.g2.com/categories/data-de-identification) 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. 

**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. 

**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.  

### 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. 

[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. 

[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. 

**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. 

**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? 
- What kind of data is the user trying to de-identify? 
- Would data masking, data encryption, or synthetic data be an alternative for their use cases? 
- 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? 
- 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? 

#### 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. 

**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.