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What are two valid pattern types in a Data Filtering profile? (Choose two.)
Comprehensive and Detailed 150 to 250 words of Explanation From Palo Alto Networks Network Security Analyst Knowledge:
In the Palo Alto Networks ecosystem, specifically when utilizing Strata Cloud Manager (SCM) and Enterprise Data Loss Prevention (DLP), Data Filtering profiles are used to identify and protect sensitive information. When an analyst creates a custom data pattern to be used within these profiles, the system allows for two primary methods of identification: Regular Expressions (Regex) and File Properties.
Regular Expressions (D) allow the analyst to define a specific string or numerical pattern, such as a custom employee ID format or a proprietary project code. This is the most flexible and common way to catch sensitive text data within a file or data stream.
File Properties (C) allow the analyst to create patterns based on the metadata or attributes of a file rather than its contents. This includes identifying files based on the 'Author,' 'Title,' 'Company,' or even custom tags embedded in document properties (e.g., Microsoft Word or PDF metadata). By combining these two pattern types, a Network Security Analyst can create a highly granular detection engine. For instance, a policy could block any file where the 'Company' property is set to a competitor or any file containing text that matches a specific Regex-defined sensitive data format.
While 'Predefined' patterns (like Credit Card numbers) are also a core component, they are not listed as an option here. 'Proximity Patterns' are a feature used to reduce false positives by ensuring two patterns appear near each other, but the fundamental 'pattern types' for custom definitions are Regex and File Properties.