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.
It's only a matter of time before cybercriminals begin to use artificial intelligence-enabled tools, open-source software and other technologies to launch attacks to exploit sensitive genetic data, said Nicholas Morris, a practice manager at security firm Optiv.
As Visa and Mastercard Deploy AI Agents, Experts Ask: Who Holds the Receipt?When AI assistants order groceries or book flights, who's responsible when something goes wrong? That question is no longer hypothetical. As Visa and Mastercard enable AI agents to perform transactions on behalf of cardholders, experts weigh the legal, security and privacy stakes.
Are your web privacy controls protecting your users, or just a box-ticking exercise? This CISO’s guide provides a practical roadmap for continuous web privacy validation that’s aligned with real-world practices
Emerging artificial intelligence and machine learning technologies being applied in the health and wellness space that are not necessarily covered by HIPAA but instead fall under a variety of tough new state privacy laws that are being enacted, said attorney Lily Li of Metaverse Law.