Compare SecurDPS Enterprise vs. iScramble

iScramble is ranked 23rd in Data Masking while SecurDPS Enterprise is ranked 21st in Data Masking. iScramble is rated 0, while SecurDPS Enterprise is rated 0. On the other hand, iScramble is most compared with , whereas SecurDPS Enterprise is most compared with .
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11 views|6 comparisons
SecurDPS Enterprise Logo
12 views|7 comparisons
Ranking
23rd
out of 25 in Data Masking
Views
11
Comparisons
6
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
21st
out of 25 in Data Masking
Views
12
Comparisons
7
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about IBM, Broadcom, Delphix and others in Data Masking. Updated: May 2020.
420,323 professionals have used our research since 2012.
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Mentis
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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.

The Data-Centric Security approach focuses on protecting data at its earliest point, while de-protecting only when absolutely necessary
SecurDPS Enterprise deploys tokenization technology to anonymize and pseudonymize sensitive and personal data.

Our tokenization stands above the rest. SecurDPS Enterprise combines the comforte AG patented, stateless tokenization algorithm and the proven, highly scalable and fault-tolerant architecture.

Augmented by a broad range of integration options, SecurDPS Enterprise allow business applications to be implemented quickly with on-premise, multicloud, Big Data, and data warehouse deployments without changes in infrastructure or code.

SecurDPS Enterprise also deploys encryption technology in cases where the data-centric benefits of tokenization are not required.

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Sample Customers
Static and Dynamic Masking in a Canadian Aviation Company, Discovery and masking for a large credit rating agencyIBM, infrasoft, CGI, 4techsoftware
Find out what your peers are saying about IBM, Broadcom, Delphix and others in Data Masking. Updated: May 2020.
420,323 professionals have used our research since 2012.
We monitor all Data Masking reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.