Compare Axiomatics SmartGuard for Data vs. SecurDPS Enterprise

Axiomatics SmartGuard for Data is ranked 24th in Data Masking while SecurDPS Enterprise is ranked 23rd in Data Masking. Axiomatics SmartGuard for Data is rated 0, while SecurDPS Enterprise is rated 0. On the other hand, Axiomatics SmartGuard for Data is most compared with , whereas SecurDPS Enterprise is most compared with .
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Ranking
24th
out of 25 in Data Masking
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4
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0
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23rd
out of 25 in Data Masking
Views
6
Comparisons
5
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Broadcom, IBM, Delphix and others in Data Masking. Updated: May 2020.
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Also Known As
SmartGuard for Data
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Axiomatics
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Overview

Uses a policy-based approach to control access to data, SmartGuard intercepts user requests for access to large data stores, and dynamically applies powerful policies. These policies are fine-grained and features dynamic filtering and dynamic data masking for datasets, tables, columns, rows and cells.

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
European BankIBM, infrasoft, CGI, 4techsoftware
Find out what your peers are saying about Broadcom, IBM, Delphix and others in Data Masking. Updated: May 2020.
418,116 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.