Quantifying Multi-Product Security and Privacy AI Risk with FAIR and NIST AI RMF
Video | FAIRCON
This track is focused on one of the hottest topics in our industry right now, AI. How can organizations balance the opportunities that arise from AI adoption while managing its risk? What does AI risk actually mean? How can we best manage it? Those questions are coming fast, and FAIR practitioners of quantitative cyber risk management are adapting rapidly.
First up in our track today are Tyler Britton, Security Engineer and Taylor Maze, Risk & Governance Manager at Dropbox. They will be presenting on their work with this case study session titled “Quantifying Multi-Product Security and Privacy AI Risk with FAIR and NIST AI RMF.”