White Papers
The Leaking Vault: Five Years of Data Breaches
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Dispelling the Myths Surrounding De-identification: Anonymization Remains a Strong Tool for Protecting Privacy from the office of the Information and Privacy Commissioner/Ontario (IPC).
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Key Steps to Meeting PCI DSS 2.0 Requirements Using Sensitive Data Discovery and Masking
All organizations with payment card data - including merchants who are authorized acceptors of cards and service providers who store, process or transmit cardholder data - must meet the latest iteration of the PCI-DSS standard, by January 1, 2011. Dataguise solutions help organizations comply with sections 3.1, 3.1.1, 7, and 11 of PCI DSS 2.0 by enabling them to quickly identify cardholder data in networks and systems, facilitate safe testing of applications with masked production data and manage risks to sensitive data. Dataguise solutions are organized around four critical data protection functionalities that map to the standard’s requirements and testing procedures.
Get the guide to learn:
- Steps to finding databases deployed on the network
- Effective search of databases and shared file systems for sensitive data
- Remediation of sensitive data risk in application data sets with next-generation, high-speed data masking
- Reports on the existence of sensitive data risks in the enterprise.
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Steps to Discovery and Protection of Sensitive Data: Find IT. Search IT. Mask IT.
Download the white paper to learn:
- How to find structured database repositories across the network
- How to search and discover sensitive data in structured databases
- How to mask or de-identify to protect sensitive data
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Why Add Data Masking to Your Best Practices For Securing Sensitive Data.
Data masking is the process of concealing sensitive data so that internal privileged and authorized users cannot access or view the actual data. Masking is different from other data security measures such as encryption, auditing, and access controls. Each of these technologies play an important part in securing data in production environments, but when it comes to non-production environments data masking alone offers strong protection of private data in such environments.
Download the white paper to learn:
- What data to mask
- Definition of various data masking algorithms
- When and how to use data masking in parallel with encryption, auditing, and access controls
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Why Add Data Masking to Your IBM DB2 Application Environment
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