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A Complete Data Security &

Privacy Solution.

In A Single Platform.

Industry-leading solution for data security and data privacy, in a single integrated platform

Our Recognition:

Data Sources Supported

Discovery & Classification

Identify & Locate sensitive data using an industry-leading and patented approach to discovery that enables complete coverage with minimal false positives.

Static Data Masking

Secure your sensitive data using robust anonymization mechanisms which include encryption, masking, and tokenization that ensures secure anonymization with zero risk of re-identification.

Dynamic Data Masking

Protect your production environments with the best-of-breed dynamic data masking solution that secures sensitive data from unauthorized access in both database and application layer.

Privacy Enhancing Techniques

Secure your data-in-use with the help of our context and format preserving anonymization methods that ensures security of the data while retaining its usability and preserving the data value.

Database Activity Monitoring

Monitor, Report, and Alert all activity on your sensitive data. Flag and alert activities that are out of the norm for review and approval.

Data Subject Access Rights Requests

Automate response to subject rights requests such as “Right to Access” and “Right to Erasure”. Minimize the risk of carrying inactive sensitive data by tokenizing or deleting the data while ensuring application integrity.

Database Virtualization

Rapidly provision data for testing and development through the Windocks integration that delivers secure data for testing that seamlessly integrates with your CI/CD pipelines.

Database Firewall

The first wall of defense for your data that restricts unauthorized access to your sensitive data

Customer Stories

Ratings Breakdown

Overall Capablity Score

  • 4.5


    Dynamic Data Masking
  • 4.5


    Static Data Masking
  • 4.5


    Sensitive Data Discovery

  • “iMask has met all of our expectations”

    IT Domain Manager, Security & Risk Management
    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
    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
    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.”

Recommended Reading

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