3 résultats pour « data protection »

A Personal data Value at Risk Approach

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The main vulnerability in data protection is ineffective risk management, often subjective and superficial. GDPR outlines what to achieve but not how, leading to inconsistent compliance. This paper advocates a quantitative approach for data protection, emphasizing analytics, quantitative risk analysis, and expert opinion calibration to enhance impact assessments.
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Will A Cybersecurity Safe Harbor Raise All Boats?

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“Using cybersecurity certification as the basis for providing a complete defense to liability may not prevent every harm from occurring. However, if organizations invest in certification to avoid legal liability, this should collectively improve the resilience and quality of technology products in the United States and beyond.”
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Comments on the Final Trilogue Version of the AI Act

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“This paper provides a comprehensive analysis of the recent EU AI Act, the regulatory framework surrounding Artificial Intelligence (AI), focusing on foundation models, open-source exemptions, remote biometric identification (RBI), copyright, high-risk classification, innovation, and the implications for fundamental rights and employment.”
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