This paper introduces the concept of differential privacy (DP) as a novel technical tool that can quantifiably assess the identification #risks of #databases, thereby aiding in the classification of data. By allocating a privacy budget in advance, data controllers can establish auditable and reviewable boundaries between #personal, #anonymous, and #pseudonymous data, while integrating this framework into broader data #riskmanagement practices.
The model aims to enhance cybersecurity performance and workforce retention through tailored training strategies. LIRE
“... the collaborative game provides executives and business leaders with insight into cyber-risk management issues, thereby improving their results through deeper learning.” LIRE
“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 lega