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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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Background for this topic.

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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Non-profit privacy advocacy group "None of Your Business" (noyb) has filed six complaints against TikTok, AliExpress, SHEIN, Temu, WeChat, and Xiaomi, for unlawfully transferring European user's data to China and infringing European Union's general data protection regulation (GDPR). [...]

Bank Info Security 1 year, 6 months ago

What Enterprises Need to Know About Agentic AI Risks

Mitigating Cybersecurity, Privacy Risks for New Class of Autonomous AgentsMany organizations are looking to artificial intelligence agents to autonomously perform tasks that surpass traditional automation. Tech firms are rolling out agentic AI tools that can handle customer-facing interactions, IT operations and a variety of other processes without human intervention, but experts are cautioning security teams to watch for cyber and privacy risks.