7 Types of Sensitive Data – And How to Keep Each One Secure

Sensitive data, encompassing personal identifiable information (PII), protected health information (PHI), financial records, intellectual property (IP), credentials, operational data, and regulated data, is both a valuable and vulnerable asset for organizations. Mishandling such data can lead to severe repercussions, including regulatory fines, reputational damage, and security risks. Each type of sensitive data requires distinct protection strategies due to its unique risks and contextual sensitivity. Effective governance involves layered protection, strong access controls, privacy-preserving analytics, and secure collaboration practices, particularly when data is used in analytics or AI projects. Organizations often struggle with sensitive data management due to its widespread distribution across cloud services, SaaS applications, and cross-border collaborations, leading to potential exposure beyond the system of record. Solutions like Duality enable secure collaboration on sensitive data by maintaining control over data access and usage, ensuring compliance and reducing the risk of data breaches without compromising the ability to conduct analytics and AI-driven insights.

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