Aug 17, 2012 ... provide examples of a sample school's Student Travel Tally report and Parent ...
For example, Sample Elementary's data collected in May 2011.
The contents of this report may not be photocopied, reproduced or stored in any
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Sample Reports
dbDataFinder summary reporting delivers a concise picture of the distribution of confidential data across the enterprise. Reports can be summarized by Type of Data, Server/Drive, or by the number of Confidential Data Hits
Summary report provide an at a glance view of the locations and amounts (Hits) of inadequately secured confidential data
dbDataFinder’s detail reporting features an option to enable authorized users to drill down to view samples and context of data hits for confidential data found in files and db’s
Samples of data and context enable verification of the accuracy of confidential data hits
dbDataFinder’s Analysis Report enables enforcement of your policies though the creation of filter sets and signatures that group elements that are collectively representative of high risk.
User defined filter set used to identify files where credit card data is found along with customer data from CRM database
dbDataFinder enables you to securely profile, categorize, and classify your own data sets. Profiled Data reports clearly detail the location of specific types of confidential data as well as the nature of the risk posed by inadequate control of that data.
Report details an xml file that contains several data elements that match the profile of Customer Data that has been classified Restricted Confidential
dbDataFinder comes with pre-packaged data signatures to enable fast and accurate identification of files and databases that contain privacy related data. Statistics such as Hit Diversity help speed report interpretation and eliminate false positives.
Push button reports provide actionable information on the proliferation and leakage of confidential data across network drives, fileshares, database and mail servers.
dbDataFinder analyzes structured and unstructured data to identify instances of PCI related data. Confidence levels are assigned based upon the number and types of data elements found.
Confidence levels determined by the presence of multiple data elements and total hits.
dbDataFinder scans emails and attachments stored within personal mail files (.PST) to identify confidential information within internal and external correspondence.
Report details the location of confidential Sales Data by attachment file name, message subject, timestamp, mail box and archive name.
dbDatafinder discovers and scans database servers to deliver a consolidated report detailing sources of confidential data as well as any inadequately controlled exports, subsets, and copies of that data.
dbDataFinder reports detail the server, database, table and column in which confidential data such as PII can be found
