Leverage column and row headers in Excel files to improve certainty level
Most users often add column and row labels in Excel worksheets specifying what type of information each column or row contains. For instance, if each row is a customer record, you might label columns with headers such as “customer name”, “email address”, “customer ID” and the like. Therefore, the column and row headers can be useful to identify sensitive information in Excel files.
By scanning column and row headers, Proactive DLP is now able to increase the certainty level in detecting sensitive data within Excel files. Watch the demo below to see it in action. In this demo, we prepared two Excel files containing passport numbers. Only one of them had a column header labeled “Passport”. Simultaneously, we enabled Proactive DLP to check for regular expressions with “Passport” as a keyword.
The first Excel file with “Passport” column header
The second Excel file without “Passport” column header
As shown, by configuring regular expression to detect 9-digits passport numbers, Proactive DLP detected sensitive information in both files. However, when scanning the first file, which contained the “Passport” column header, the certainty threshold was high, and the file was blocked.
Leverage metadata information added by data classification systems
Metadata can provide information that is useful for classifying the file sensitivity. There are several systems that automatically categorize documents using custom metadata or document properties, such as Windows Azure Information Protection, Titus, etc. These systems add specific information to file properties demonstrating how confidential the documents are. Proactive DLP now can read file properties and block the sensitive items based on rule configurations. Watch the demo hereunder to understand how Proactive DLP can help in this case.
In this demo, a Microsoft Word document, which was classified as “Sensitivity” in its properties by Azure Information Protection, was scanned by Proactive DLP. Before processing, we enabled checking for metadata and added a metadata regex with key regex as “Sensitivity” and value regex as “Secret All Company”. Having the file scanned, we got a file blocked result with details of the sensitive information found.
DLP v2.4 provides, a number of improvements and updates that boost Proactive DLP performance and better accommodate your use-cases and security demands, such as:
- Custom keyword lists for regular expression
- Support for redaction feature on Linux
- Faster processing with less resource usage
- Technology: OPSWAT Proactive DLP
- Release Date: July 7, 2020
- Release Notes: 2.4
Tags: Proactive DLP