Compare NextLabs Externalized Authorization Management vs. iScramble

iScramble is ranked 22nd in Data Masking while NextLabs Externalized Authorization Management is ranked 6th in Data Masking. iScramble is rated 0, while NextLabs Externalized Authorization Management is rated 0. On the other hand, iScramble is most compared with , whereas NextLabs Externalized Authorization Management is most compared with Axiomatics Policy Server, Tools4ever ERAM and Oracle Entitlements Server.
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Ranking
22nd
out of 25 in Data Masking
Views
9
Comparisons
5
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
6th
out of 25 in Data Masking
Views
749
Comparisons
542
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
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Mentis
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NextLabs
Overview

iScramble is the MENTIS suiteā€™s solution for static data masking. iScramble allows you to apply a variety of masking methods to your data while maintaining referential integrity.

NextLabs Authorization Management separates policy management from the application lifecycle. It externalizes access control decisions to a decision point (decision is based on the data they want to access and the action they want to perform) that is decoupled from the application. The system interrogates an information point to determine a user's access rights based on a centrally managed policy. Authorization and access rights to an organization's network or assets are granted dynamically in real-time based on user, data and environmental attributes. Externalized authorization allows for the management of permissions to multiple systems from a single platform, streamlining the access process and reducing administrative burden. Access control to file shares, network subnets, document repositories and applications can now be made in real time by a centrally-managed decision point, using attributes in a user's directory entry.

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Sample Customers
Static and Dynamic Masking in a Canadian Aviation Company, Discovery and masking for a large credit rating agencyFortune 1000 manufacturer
Find out what your peers are saying about Broadcom, IBM, Delphix and others in Data Masking. Updated: May 2020.
419,052 professionals have used our research since 2012.
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