#cybersecurity goes beyond networks and people, encompassing #physicalsecurity crucial for organizations. Inadequate physical security, seen in incidents like the Oklahoma City bombing, 9/11 attacks, and U.S. Capitol breach, highlight policy and control failures. Effective physical security involves planning, #riskassessment, #controls, and frameworks like #cpted, #nist, and #fema, addressing present and future #threats.
The current global #dataprivacy situation resembles the accountability crisis during the early 2000s US accounting scandals. Lack of oversight, #transparency, and #regulation has led to confusion and distrust. By emulating successful models like the Sarbanes-Oxley Act, companies can regain consumer trust by treating privacy policies like #financialstatements, standardized and audited. The proposal includes #privacy #controls similar to financial internal controls and a Privacy Cube framework for #riskmanagement, ultimately aiming to rebuild #consumertrust in #data handling.
#financialinstitutions are increasingly using #machinelearningalgorithms for credit risk mgmt., #fraudprevention, and #aml. This paper presents robust evidence of using logistic regression, linear discriminant analysis, and neural networks for accurately predicting and classifying financial transactions for Volcker Rule #compliance. It provides a scalable minimum viable product to automate #controls testing.