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Privacy concerns how laws and norms govern personal data, shaping cybersecurity duties for collection, storage, access, and disclosure.

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Privacy is the ability of people to control how information about them is collected, used, retained, and disclosed. In technical and legal contexts, it covers identifiable data and data that can support inferences about a person, not only information made public. Privacy rules and organizational policies commonly address purpose, transparency, access, correction, retention, and sharing.

For security practitioners, privacy depends on reducing unnecessary data and restricting legitimate access: data minimization, encryption, least-privilege controls, segregation of identifiers, retention limits, and audit logs all reduce exposure. Compromised credentials, misconfigured storage, excessive telemetry, or third-party access can reveal sensitive information; pseudonymized datasets may also be re-identified when combined with other data. During an incident, teams must establish what personal data was accessed or disclosed, contain further exposure, preserve evidence, and meet applicable notification and handling requirements.

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The Hacker News 1 year, 2 months ago

Top 10 Best Practices for Effective Data Protection

Data is the lifeblood of productivity, and protecting sensitive data is more critical than ever. With cyber threats evolving rapidly and data privacy regulations tightening, organizations must stay vigilant and proactive to safeguard their most valuable assets. But how do you build an effective data protection framework? In this article, we'll explore data protection best practices from meeting

Austrian privacy non-profit noyb (none of your business) has sent Meta's Irish headquarters a cease-and-desist letter, threatening the company with a class action lawsuit if it proceeds with its plans to train users' data for training its artificial intelligence (AI) models without an explicit opt-in