Compare Privitar Publisher vs. SecurDPS Enterprise

Privitar Publisher is ranked 15th in Data Masking while SecurDPS Enterprise is ranked 21st in Data Masking. Privitar Publisher is rated 0, while SecurDPS Enterprise is rated 0. On the other hand, Privitar Publisher is most compared with , whereas SecurDPS Enterprise is most compared with .
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Ranking
15th
out of 25 in Data Masking
Views
31
Comparisons
29
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.
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Privitar
comforte
Overview

Delivering data-driven insights that fuel growth while achieving compliance for the sensitive data from your customers, partners and employees is hard, but it doesn’t have to be. With Privitar’s market-leading functionality and enterprise grade software, you can finally achieve both.

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
NHS DigitalIBM, infrasoft, CGI, 4techsoftware
Find out what your peers are saying about IBM, Broadcom, Delphix and others in Data Masking. Updated: May 2020.
419,794 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.