Data Warehouse Protectors

This page discusses about the Protegrity Data Warehouse Protector. It also provides detailed information, features, deployment process, and architecture for the Protegrity Data Warehouse Protector.

The Protegrity Data Warehouse Protector is an advanced security solution designed to protect sensitive data at the column level. This enables you to secure your data, while still permitting access to authorized users. Additionally, the Data Warehouse Protector integrates seamlessly with existing database systems using the User-Defined Functions for an enhanced security.

Protegrity provides Data Warehouse Protector support for the Teradata Data Warehouse platform.

Features of the Data Warehouse Protector

The Protegrity Data Warehouse Protector uses vaultless tokenization and central policy control for access management and secures sensitive data at rest in data warehouses like Teradata, Exadata etc.

The data is protected from internal and external threats, and users and business processes can continue to utilize the secured data.

Protegrity protects the data using encryption and tokenization methods. In tokenization, the data is converted to similar looking inert data known as tokens where the data format and type can be preserved. These tokens can be detokenized back to the original values whenever required. Depending on the user access rights and the policies set using Policy Management in ESA, this data is unprotected.

The Protegrity Data Warehouse Protector provides the following features:

• Provides fine grained field-level protection using role-based administration with a centralized security policy.

• Provides Protegrity Format Preserving Encryption (FPE) method for structured data. The following data types are supported:

  • Numeric (0-9)

  • Alpha (a-z, A-Z)

  • Alpha-Numeric (0-9, a-z, A-Z)

  • Credit Card (0-9)

  • Unicode Basic Latin and Latin-1 Supplement Alpha

  • Unicode Basic Latin and Latin-1 Supplement Alpha-Numeric

• Provides logging and viewing data access activities and real-time alerts with a centralized monitoring system.

• Ensures minimal overhead for processing secured data, with minimal consumption of resources, threads and processes, and network bandwidth.