Data Protection

4 reports
Data Protection is a regulatory framework that defines scope, evidence requirements, oversight responsibilities, and enforcement procedures. Assessment relies on approval pathway, enforcement action, and legal authority, including whether reporting duties and review procedures produce measurable accountability.

The evidence base around Data Protection is examined through approval pathway and enforcement action, with separate attention to legal authority. Conclusions concerning approval pathway remain tied to post-implementation evidence, statutory text, and transparent methods; interpretation remains cautious because legal authority and scientific evidence may address different questions.

QuProtect R3 Added to GSA Schedule for Federal Crypto Migration

QuSecure's QuProtect R3 platform is now available through Carahsoft's GSA Schedule, offering U.S. federal agencies a route to upgrade cryptographic systems in line with post-quantum security mandates and migration deadlines

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EY Installs On-Site Quantum Computer to Meet Data Sovereignty Needs

Ernst & Young (EY) has deployed an on-premises quantum computer in Canada, aiming to process sensitive enterprise workloads while addressing regulatory and data sovereignty requirements for sectors including finance and healthcare

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Public Claude AI Chats Indexed by Google, Exposing Sensitive Data

A technical lapse allowed Google to index publicly shared Claude AI conversations, making sensitive user data-including medical and business information-searchable until the links were removed from results

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Medical AI Models Face Higher Patient Privacy Risks Than Expected

A new peer-reviewed study finds that diagnostic medical AI models can leak sensitive patient information at rates far above previous estimates, raising concerns about privacy, data security, and the need for robust technical safeguards in clinical machine learning.

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