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WHITE PAPER

Best Practices for Dynamic Data Masking

Securing Production Applications and Databases in Real-Time

This document contains Condential, Proprietary and Trade Secret Information (“Condential Information") of

Informatica Corporation and may not be copied, distributed, duplicated, or otherwise reproduced in any manner

without the prior written consent of Informatica.

While every attempt has been made to ensure that the information in this document is accurate and complete, some

typographical errors or technical inaccuracies may exist. Informatica does not accept responsibility for any kind of

loss resulting from the use of information contained in this document. The information contained in this document is

subject to change without notice. The incorporation of the product attributes discussed in these materials into any release or upgrade of any

Informatica software product—as well as the timing of any such release or upgrade—is at the sole discretion of

Informatica.

Protected by one or more of the following U.S. Patents: 6,032,158; 5,794,246; 6,014,670; 6,339,775; 6,044,374;

6,208,990; 6,208,990; 6,850,947; 6,895,471; or by the following pending U.S. Patents: 09/644,280;

10/966,046; 10/727,700.

This edition published October 2011

1Best Practices for Dynamic Data Masking: Securing Production Applications and Databases in Real-Time

White Paper

Table of Contents

Executive Summary

. .2

The Need for Dynamic Data Masking

. .2

Introduction to Dynamic Data Masking

. .3

Dynamic Data Masking Compared To Other

Security Technologies. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .4

Dynamic Data Masking Best Practices

. .5

A Complete Dynamic Data Masking Solution

. .6

Informatica Dynamic Data Masking in Action

. .7 Protecting Production Environments........................................7 Minimizing Outsourcing Risks ............................................7

Securing Generic Accounts

Conclusion. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .8

2

Executive Summary

Sensitive data, such as nancial records and personal employee or customer information, needs to be protected, both to safeguard it from unauthorized eyes and to comply with a growing number of privacy regulations around the world. At the same time, enterprise environments are becoming ever more heterogeneous and complex, requiring increasing cost and effort to monitor and protect the data they contain. Dynamic Data Masking (DDM) cost-effectively adds an extra layer of data security by customizing the level of data masking, scrambling, or blocking at the individual level. With DDM, IT organizations can give authorized users the appropriate level of data access without changing a single line of code or the database.

The Need for Dynamic Data Masking

PCI-DSS, GLBA, BASEL II, the EU Personal Data Protection Directive, HIPAA, and other privacy regulations were created in response to a growing problem: exposure and theft of sensitive and personal information. These regulations require organizations to limit data access based on the user"s business function. However, applying this across the board is difcult, especially in environments that include external users and outsourced and part-time employees.

For example:

An organization using PeopleSoft to manage human resources needs to give administrators and consultants the amount of access necessary to perform HR tasks, but limit full details to privileged users. A large bank needs to anonymize account information in its database environment in order to protect customer privacy without interfering with the day-to-day work of its designers, consultants, contractors, developers, and DBAs.quotesdbs_dbs2.pdfusesText_3

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