Mage Database Security
Enable a comprehensive database security mechanism by seamlessly anonymizing sensitive data across your data landscape.
Locate, Identify and Classify Sensitive Data
- Discover sensitive data with a patented approach using advanced algorithm-based mechanisms
- Identify 100% of enterprise-wide sensitive data, even in hard-to-find locations in structured and unstructured data stores, both on cloud and on-premise
- Locate all sensitive data with minimal false positives and no manual intervention
- Use advanced techniques such as Natural Language Processing (NLP) to classify sensitive data accurately with context based sensitive data discovery
- Configure from 80+ data elements available out-of-the-box covering all popular PII and PHI data, with the flexibility for additional data elements as needed
Secure sensitive data through robust anonymization measures
- Comprehensively de-identify sensitive data in production & non-production environments
- Deploy as required from among 70+ data anonymization algorithms including masking, encryption and tokenization
- Retain data usability while providing data security with advanced anonymization methods
- Select a database agent-based approach or agentless approach with no additional components
- Maintain referential integrity across the data landscape through consistent anonymization of sensitive data
Monitor and log all access to sensitive data with near real-time reporting
- Continuously monitor databases and applications with no changes in application or database coding
- Benefit from the low overhead and cost-effective monitoring through Mage’s unique service architecture
- Gain a head start on preventing unauthorized activity and access with minimal resource usage and easy deployment
Minimize exposure risk by deleting or tokenizing inactive sensitive data
- Leverage Mage’s proprietary and patent-pending process to retire and securely tokenize sensitive data within applications and underlying databases
- De-identify and tokenize aged, inactive data within production environments while maintaining integrity of application and underlying table structures
- Minimize the risks associated with potential breaches by securing sensitive data at the end of its lifecycle without losing its value
Explore the Mage Solution
for Database Security
Frequently Asked Questions
Customer Stories
Overall Capablity Score
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4.5
(97)
Dynamic Data Masking -
4.5
(97)
Static Data Masking -
4.5
(96)
Sensitive Data Discovery
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“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.”
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“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.”
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“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.”
Our Recognition
Data Sources Supported
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