How can organizations identify sensitive data that requires protection, using data discovery tools to classify and label data based on its sensitivity?
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Organizations can identify sensitive data that requires protection by using data discovery tools to scan and analyze data across their systems. These tools can be configured to recognize patterns or metadata associated with sensitive information such as personally identifiable information (PII), financial data, intellectual property, and confidential business information. By setting up rules and policies within the data discovery tools, organizations can automatically classify and label data based on its sensitivity level. This helps in identifying where sensitive data resides, who has access to it, and how it should be handled to ensure proper protection and compliance with privacy regulations.