This whitepaper outlines a five-step best-practice framework for implementing data masking to protect sensitive information in non-production environments. With insider threats and regulatory compliance risks on the rise, data masking reduces exposure by de-identifying sensitive data while retaining its utility for development, testing, and analytics. The five steps include: Discover (locating sensitive data), Assess & Classify (defining risk and masking methods), Configure (building masking rules), Deploy (integrating into workflows), and Maintain (ensuring long-term effectiveness). Imperva Camouflage offers tools and guidance to execute this framework, improving security without sacrificing productivity.

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