ILTA masterclass:

As organisations accumulate volumes of sensitive data, the risks associated with managing that data continue to grow. Many governance programs struggle to translate those risks into concrete, defensible metrics.

During this session, Chris Hockey, Senior Manager at Triad Executive Advisors, will expand beyond vague assessments and gut instincts to present a practical, repeatable framework for quantifying data risk exposure.

Drawing from a real-world case studies, this presentation will demonstrate how organisations can systematically identify hidden data challenges and assign weighted risk scores based on data sensitivity (PHI, PII, SBI), unstructured system usage, and third-party data sharing. Attendees will learn how applying this quantification framework delivers measurable results and will walk away with actionable steps for implementing similar approaches in their own firms.

Key takeaways:

• A weighted scoring methodology for evaluating data risk across business processes

• Techniques for uncovering hidden compliance gaps and insecure data storage practices

• Strategies for translating quantified risk into governance priorities and executive buy-in