Mage Data is the Customers’ Choice for Data Masking for the third consecutive year. READ MORE >

Enterprise Data Privacy and Security. Reimagined.

Mage - The #1 platform leading the charge in solving sensitive data challenges.

EXPERIENCE MAGE

50+ Customers around the globe
1000+ Data sources protected
40+ Research note mentions

Solving sensitive data challenges

Database Security

Secure data be it at-rest, in-transit, or in-use with a single enterprise-grade solution that covers sensitive data across the entire lifecycle

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Secure Digital Transformation

A single, integrated platform that secures sensitive data consistently and comprehensively across on-premise, cloud, and SaaS applications

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Cross Border Data Sharing

Secure sharing of data across the enterprise while ensuring compliance with all data residency requirements and global privacy mandates

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Responsible Analytics

Analyze and derive business critical insights from data without risk of sensitive data exposure

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Regulatory Compliance

Enable seamless compliance with global privacy regulations in a single comprehensive solution that enables data security, data privacy and automation to respond to data subject access rights.

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Test Data Management

Rapid and Secure provisioning of statistically accurate data for testing and development

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Our Patents

Data Classification based Data Discovery

(System & Method for Data Classification-Centric Sensitive Data Discovery)

Discovery, Masking, Encryption & Tokenization in a single platform

(Integrated System & Method for Sensitive Data Security)

Data Subject Access Rights Automation

(System & Method for Sensitive Data Retirement)

Our Recognition

Customer Stories

Ratings Breakdown

Overall Capablity Score

  • 4.5

    (97)

    Dynamic Data Masking
  • 4.5

    (97)

    Static Data Masking
  • 4.5

    (96)

    Sensitive Data Discovery
  • “iMask has met all of our expectations”

    IT Domain Manager, Security & Risk Management
    Industry:
    Firm Size:  30B+ USD

    “I like this tool because with its secure anonymization technologies the performance and efficiency is not compromised. I like to use it because it works fast, takes a short time to run, and doesn’t use a lot of system resources. It cleans copies of our production data for testing, development, and other activities and fully eliminates unnecessary data. Our main motivation for using this solution was to achieve dynamic data masking and data protection and it never disappointed us and we are convinced that we made the right decision. iMask has perfectly met all of our expectations thus far that other tools are unable to do, we also look at a few different options, but iMask is the best.”

  • “Artificial intelligence to  uncover data in the most complex of locations”

    Project Manager, Product Management
    Industry:
    Firm Size: 10B-30B USD

    “Mentis helps the organization to uncover the hidden sensitive data locations within the organization with Sensitive Data Discovery module. This type of discovery is unique to the application. It uses the artificial intelligence to uncover data in the most complex of locations. It also has all compliance with popular data classifications by global privacy regulations includes the GDPR, CCPA, HIPAA. An overall recommended data masking application for the company.”

  • “Really helpful in protecting most sensitive data elements”

    Decision Analyst, Data and Analytics
    Industry:
    Firm Size: 1B-3B USD

    “iScramble is a great data masking technique that provides flexibility to encrypt data to protect it from attacks and threats. It has various anonymization techniques that help to safeguard data in non-production environments. It can source data from various applications and third party like Big Data, Hive, Oracle. It helps protect data at enterprise and database layers and help secure data on any cloud platform. This provides a complete security solution with proper masking techniques to protect data from outside attacks. Overall, it is really helpful in protecting most sensitive data elements.”

Building a data conscious world

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