Enhanced Date Matching for EDM
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What's New in the NetSec Platform

Enhanced Date Matching for EDM

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Enhanced Date Matching for EDM

Enhanced Date Matching for Enterprise Data Loss Prevention (E-DLP) EDM addresses the challenge of accurately identifying dates in ambiguous formats where day and month values could be interpreted multiple ways.
Enhanced Date Matching for EDM addresses the challenge of accurately identifying dates in ambiguous formats where day and month values could be interpreted multiple ways, such as 1/8/1975 which could represent either January 8th or August 1st. When your organization processes documents containing these ambiguous date formats, traditional EDM scanning may miss sensitive data because it can’t determine the correct interpretation, creating potential gaps in your data loss prevention coverage. The support for enhanced date matching requires EDM CLI app version 5.0 or later release.
Enhanced Date Matching for EDM now recognizes both possible interpretations of ambiguous dates, ensuring comprehensive protection of sensitive information regardless of regional formatting conventions. Additionally, Enterprise Data Loss Prevention (E-DLP) can match format variations including documents with or without leading zeros, so Enterprise DLP can successfully match 1/8/1975 against 01/08/1975 and 01 Jan 1975 in inspected traffic. This capability proves valuable for global organizations that handle documents that originate across different regions where date formatting standards vary.
The enhancement provides more reliable detection of date-sensitive information in corporate communications, financial documents, and data transfers. With Enhanced Date Matching for EDM, Enterprise DLP can deliver consistent protection across your entire organization, reducing the risk of data loss incidents that formatting variations in business-critical information cause. Enhanced Date Matching for EDM ensures that sensitive data containing dates receives comprehensive coverage regardless of how those dates appear in your documents or data streams.