You can now use Enterprise Data Loss Prevention (E-DLP) Exact Data Matching (EDM) to detect and classify currency values across multiple formats, enhancing your organization's ability to prevent financial data exfiltration. This enables EDM to recognize monetary amounts in both US Dollar and Euro formats, including variations with currency symbols, decimal points, and comma separators such as $100,000.00, €50,000, or 100000. The support for currencies requires EDM CLI app version 5.0 or later release.

EDM currency detection addresses compliance requirements for organizations that handle sensitive financial data and need comprehensive data loss prevention coverage. Your data security administrators can use EDM to detect sensitive financial information including salary data, budget figures, transaction amounts, and other monetary values in documents and communications, whether it appears with or without currency symbols, decimal points for cents, or comma separators in larger amounts. Currency detection is valuable for global enterprises operating across multiple regions where different currency formats are common, ensuring consistent protection regardless of how your format financial data in your organization's documents.

EDM currency support integrates with your existing EDM configuration and follows the same data classification and policy enforcement mechanisms as other EDM data types. When you include supported currency values as a data type in your EDM data sets, Enterprise DLP automatically applies the appropriate matching algorithms during content inspection across email, web traffic, and file transfers. This capability is important for organizations subject to financial regulations or those handling customer payment information, as it helps prevent costly data breaches that could result in regulatory fines or competitive disadvantage. Currency detection works alongside existing EDM data types to provide comprehensive protection for structured financial data within your enterprise environment.

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.

Granular data profiles enhance your Enterprise Data Loss Prevention (E-DLP) detection capabilities by allowing you to apply differentiated inline content inspection requirements and response actions within the same Security policy rule. For example, you can use a single granular data profile to block high-risk data patterns while alerting on lower-risk ones, set varying log severities for different data profiles, and set specific file types for each data profile included in the granular data profile.

Granular data profiles simplify policy rulebase management by consolidating multiple rules into a single, more flexible Security policy rule. Furthermore, they reduce false positive detections and allow your data security admins to achieve a more nuanced approach to data protection that aligns closely with your organization's risk management strategy while maintaining a lean and efficient Security policy rulebase.