Secure Data, Always, Everywhere.
Regulatory Compliance Simplified – A single solution to identify, track, protect, and monitor your data across the entire enterprise data landscape.
Test Data Management
Testing, Development, and Analytics require data that is realistic and replicates the nature of data in production environments. Mage Data enables organizations to rapidly provision secure data for testing and development with a comprehensive Test Data Management Solution. With Mage Data, organizations can:
- Rapidly provision data from production to non-production environments
- Unlock the power of data without worrying about data security
- Deploy a Test Data Management that can seamlessly work across multiple data platforms through flexible deployment mechanisms
Database Security
The Mage Data security platform secures sensitive data within your enterprise, by identifying and locating the data within your data landscape. With Mage Data, organizations can:
- Identify and locate the presence of sensitive data across the enterprise
- Securely anonymize sensitive data through robust data protection measures that offer masking, encryption, and tokenization
- Monitor and log all access to sensitive data with near-real time reporting
- Minimize the risk of sensitive data exposure by deleting or tokenizing inactive sensitive data
Regulatory Compliance
A rising number of global privacy regulations require organizations to enact measures to protect sensitive data and respond to data subject rights requests. With an integrated platform that secures sensitive data across its lifecycle, Mage Data enables enterprises to focus on their strengths without any distractions on the data security and data privacy front. With Mage Data, organizations can:
- Secure sensitive data with robust data protection anonymization methods like encryption, tokenization, and masking
- Automate response to subject rights requests like Right to Erasure, Right to Access
- Minimize risk of sensitive data exposure by retiring/tokenizing inactive sensitive data
Cross-Border Data Sharing
Global privacy regulations and local data sharing laws restrict sharing of sensitive data by enterprises across geographical borders. Mage Data’s industry leading solution for Cross-Border Data Sharing helps organizations enable operational cost savings by outsourcing their development and testing requirements to other geographies without worrying about sensitive data leaving their data stores. With Mage Data, organizations can:
- Comply with privacy regulations like GDPR, CCPA, PDPA, LGPD, and others that have restrictions on sensitive data being shared across borders
- Comply with local data residency rules by ensuring no sensitive data leaves the geography
- Enable cost savings by out-sourcing development and testing teams abroad without the risk of sensitive data being shared outside the border
Secure Digital Transformation
Migrating to the cloud exposes your sensitive data to potential unauthorized access and can result in sensitive data exposure. Mage Data helps organizations securely migrate to the cloud while ensuring the referential integrity between data on the Cloud and On-Premise. With Mage Data, organizations have access to a solution that enables:
- Seamless protection of data wherever it resides, be it On-prem, Cloud, or SaaS applications
- Maintain referential integrity between anonymized data in the Cloud, On-prem, or SaaS applications
Responsible Analytics
Performing secure analytics on data requires that the data to retain its value, while minimizing the risk of sensitive data exposure. With state-of-the-art anonymization techniques, Mage Data enables organizations to extract value from their data without compromising on security. The Mage Data solution for Responsible Analytics provides organizations the ability to:
- Anonymize data while preserving data usability and data value for analytics purposes
- Choose appropriate data protection methods that maintain the balance between security and performance
- Conduct risk assessments on the anonymized data that determines the risk of identification of the dataset
Data Sources Supported
Analyst Recognitions
Customer's Choice
Data Masking
Champion
Test Data Management
Leader
Data Security Platforms
Strong Performer
Dynamic Data Masking
Why users love Mage Data
“iMask has met all of our expectations”
IT Domain Manager, Security & Risk Management
Industry: Healthcare
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: Healthcare
Firm Size: 10B-30B USD
Mage Data 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: Healthcare
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.