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Guideline for Using Sensitive Data Search ToolsThe critical importance of securing sensitive data and personally identifiable information (PII) on University desktop computers calls for technical support staff to be aware of possible preventative and remedial measures. Though complete data security relies on a multitude of factors, technology-oriented tools can be used to reduce the risk of exposure. The programs and processes outlined within this guideline may be able to identify and protect PII that resides on personal computers and servers. NUIT has reviewed several open source and vendor supported applications that are designed to identify occurrences of Social Security Numbers (SSNs) and other types of sensitive data. No single vendor provided a comprehensive solution, and the best results were achieved when products were used in combination with others. In addition, use of these tools is often time and CPU-intensive, requiring a day or more of processing time. Technical support staff should also have knowledge of how to create searches with wildcard and other character strings for SSNs and credit card numbers. A short reference about character string searching is available from NUIT Information and Systems Security/Compliance. Audience:Tools should be used by technical support staff only. If your department is interested in conducting a search for sensitive data, NUIT's Distributed Support Services can provide guidance in this process. These measures may be especially relevant for users who frequently come in contact with social security and credit card numbers, such as business managers, lead administrative personnel, and accounts receivables staff. Statement:The following PPI data search tools have been tested by NUIT, and may provide preventative and remedial measures for locating PII on University desktop computers. For every tool, make sure that it checks all possible files that may contain sensitive data, and be aware that PDFs and ZIP files may cause problems, though these formats may contain PII data. Further, plan for at least a day to collect and examine data on a loaded machine.
Original Issue Date: August 2006
Revision Dates: July 2007
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Last Updated: 17 July 2007 |
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