Sensitive Data Discovery: What It Is, How It Works, and What Regulated Industries Do After
Blog post from Duality
Sensitive data discovery is the process of identifying, scanning, and classifying data that needs special handling under regulatory frameworks like GDPR, HIPAA, and CCPA, serving as the first step in a comprehensive data protection workflow. The discovery process is essential for organizations to maintain compliance, as it involves creating a detailed inventory of sensitive data across various environments, including structured and unstructured systems, cloud storage, and shadow IT. Effective data management requires ongoing discovery, classification, risk assessment, and remediation, rather than treating it as a one-time compliance task. Privacy-enhancing technologies such as federated learning, secure multi-party computation, and differential privacy help organizations utilize sensitive data securely after discovery by avoiding the risks associated with data centralization and movement. Continuous monitoring and integration with data catalogs and governance platforms are crucial to maintaining an up-to-date inventory, thus satisfying regulatory obligations and mitigating data breach risks.
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