Data governance for data protection requires strong security measures to ensure confidentiality, integrity, and availability of information. Key practices include implementing strict access controls so only authorized users can access sensitive data, and applying encryption to protect data both at rest and in transit. Data masking and anonymization are also important when using or sharing data in non-production environments, reducing exposure of sensitive information. Additionally, data loss prevention tools help monitor and control data movement, preventing unauthorized transfers or leaks. Together, these measures create a comprehensive security framework that safeguards data and ensures compliance with regulatory and organizational requirements.

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