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Mage™ Static Data Masking vs. SMARTS Decision Management Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
SMARTS Decision Management Platform
Score 9.1 out of 10
N/A
Sparkling Logic SMARTS™ is a low-code/no-code decision management platform that spans the business decision lifecycle, from data import to decision modeling to application production. SMARTS was designed by a team of experts who wanted to deliver a powerful yet simple product so that business analysts and business users could start with data and build decision logic with built-in predictive data analytics and execution decision analytics. SMARTS aims to give business management an end…N/A
Pricing
Mage™ Static Data MaskingSMARTS Decision Management Platform
Editions & Modules
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Offerings
Pricing Offerings
Mage™ Static Data MaskingSMARTS Decision Management Platform
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeOptionalNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Mage™ Static Data MaskingSMARTS Decision Management Platform
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User Ratings
Mage™ Static Data MaskingSMARTS Decision Management Platform
Likelihood to Recommend
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Mage™ Static Data MaskingSMARTS Decision Management Platform
Likelihood to Recommend
Mage Data
No answers on this topic
Sparkling Logic, Inc.
Smarts is well-suited to handle rules orchestration for complex decision flows where there's a need for advanced functionality and reusable components or assets. It is very useful for scenario testing, modeling, and dashboarding. These capabilities give you robust insights and help you optimize your decisions. It is less appropriate for very simple decisioning needs.
Seth Baumwell | TrustRadius Reviewer
Seth Baumwell
Product Manager
Read full review
ScreenShots

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.

SMARTS Decision Management Platform Screenshots

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