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Mage™ Dynamic Data Masking vs. Mage™ Static Data Masking

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Mage™ Dynamic Data Masking
Score 9.3 out of 10
N/A
Mage™ Dynamic Data Masking (formerly Mentis' iMask) module helps users secure a production environment from unauthorized access. It secures sensitive data at the Application Layer and the Database layer by offering flexible approaches that cater to various use cases and types of users – small, medium, and large enterprises.N/A
Mage™ Static Data Masking
Score 0.0 out of 10
N/A
Mage™ Static Data Masking (formerly iScramble, MENTIS' Data Anonymization module) protects critical sensitive data in non-product and pre-production environments. iScramble offers users the flexibility to choose the anonymization method per requirements - including encryption, tokenization, and masking techniques - to protect sensitive data in a delicate balance of performance and security.N/A
Pricing
Mage™ Dynamic Data MaskingMage™ Static Data Masking
Editions & Modules
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Offerings
Pricing Offerings
Mage™ Dynamic Data MaskingMage™ Static Data Masking
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details——
More Pricing Information
Best Alternatives
Mage™ Dynamic Data MaskingMage™ Static Data Masking
Small Businesses

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Medium-sized Companies

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Enterprises
Delphix
Delphix
Score 9.2 out of 10
Delphix
Delphix
Score 9.2 out of 10
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User Testimonials
Mage™ Dynamic Data MaskingMage™ Static Data Masking
ScreenShots

Mage™ Dynamic Data Masking Screenshots

Screenshot of Ensure your data’s complete protection in production instances by masking sensitive data at both application and database layers. Configure rules within the product UI to enable role-based, user-based, program-based, and location-based access controls on who can access your sensitive data. Maintain data consistency between production and non-production instances by having the flexibility to choose from over 40 anonymization methods (same as those used in the Static Data Masking Module).Screenshot of iMask offers you the ability to control who accesses your sensitive data through the application of authorization rules. Rules can be configured based on user, location, role, and even programs. Ensure complete control over your sensitive data access, and combined with real-time monitoring, enabling a full 360-degree data protection coverage

Mage™ Static Data Masking Screenshots

Screenshot of Choose from 60+ different anonymization methods that protect your sensitive data effectively. Maintain referential integrity between applications through anonymization methods that give you consistent results across applications and datastores. Anonymization methods that offer you the best of both worlds in terms of protection and performance. Choose to encrypt, tokenize, or mask the data as per the use case that suits you.Screenshot of Anonymize your sensitive data using a range of methods that provide adequate security while maintaining data usability. Protect sensitive data across data stores and applications and maintain referential integrity between them. Choose from a variety of NIST-approved encryption and tokenization algorithms in addition to masking to secure your sensitive data. Maintain minimal reversibility risk, thereby complying with rigorous regulations like HIPAA, GDPR, and CCPA.Screenshot of Choose how you want to secure your sensitive data with a data classification centric anonymization technique. Secure your data across the spectrum, whether it is in-transit, at-rest, or in-use. Provide the best in class security for your sensitive data with NIST approved fips140 algorithm for encryption and tokenization.Screenshot of Implement masking that integrates easily with your replication process with a choice of in-app or API based execution of anonymization. Anonymize your data with context preserving techniques that enable you to retain the data’s usability. Retain the characteristics of the original data with anonymization techniques that maintain format, length, and context.Screenshot of Enable adequate anonymization with minimal re-identification risk through the use of MENTIS Identities (patent pending) masking method. Generate a fake dataset similar in characteristics to the original data through fuzzy logic and artificial intelligence, with MENTIS identities. Maintain an anonymized datastore that preserves demographics, gender ratios, age distribution, and the like.