Privacy and protection of personal information is a hot topic in data governance. However, the co mpliance challenge is in creating audit defensibility that ensures practice s are compliant and performed in a way that is scalable, transparent, and d efensible; thus creating “Audit Resilience.” Data practitioners often struggle with viewing the world from the auditor’s perspective . This presentation focuses on how to create the foundational governance fr amework supporting a data control model required to produce clean audit fin dings. These capabilities are critical in a world where due diligence and c ompliance with best practices are critical in addressing the impacts of sec urity and privacy breaches. The companies in the news recently drive home t hese points.
\nThis session will cover:
\n\n What are the requirements to ensure management is "audit resilient&quo t;? \n What is a Control System and how is it related to a Data Control Model?\n What is “regulatory alignment” from a data perspective?\n How do I build a Data Control Model?\n What role do advanced techniques (AI, Machine Learning) play in audit resil ience?\n\n DTSTART:20181010T095000 SUMMARY:Architecting the Framework for Compliance and Risk Management DTEND:20181010T104959 LOCATION: See Description END:VEVENT END:VCALENDAR