5:30 pm - 6:30 pm: Arrival, Networking, Food & Drinks
6:30 pm - 7:30 pm: Presentation (see the description below)
7:30 pm - 8:00 pm: Networking with Food and Drinks (Sponsored by Varonis)
To join remotely: https://us06web.zoom.us/j/3775705632
Summary: In this presentation we will provide insights around the inherent risks related to using Generative AI, self-trained LLMs and AI workloads within the Healthcare enterprise. With data at the heart of any AI usage, we will cover efficient methodologies for identifying and mitigating your own risk to safely enable AI, making your workforce more productive and driving toward the innovation AI promises. Specifically the topic will engage the audience to consider how understanding the data set, its sensitivity, the access to it from internal employees to third parties, and how data will be used and created. Protecting data wherever it goes and ensuring compliance through the AI journey.
Learning Objectives: In this presentation the audience will learn about the inherent risks surrounding AI and therefore data within the healthcare enterprise. Marrying key objectives around cloud security, governance risk and compliance, Risk management and threat detection/prevention through the AI lifecycle.
Speaker Bio: Scott Shafer – Technology Evangelist for Varonis supports a wide range of security and technology initiatives by helping Varonis’ customers and partners get the most out of the company’s products. In his 20+ year career Scott has served as an IT engineer, Operations Manager, and various leadership roles within Governance Risk and Compliance for FinTech software companies serving the financial services, treasury management and payments market space. Scott is an Information security professional with recent focus on security risk and compliance management including identification of risk impact with cost aware mitigation strategies related to regulatory and cybersecurity requirements. He holds a CISSP certification and leverages his background to fuel his passion for enabling organizations to pragmatically manage risk around their most valuable asset, company data. Scott holds a bachelor’s degree in IT, Computer Science and Network Security from DePaul University in Chicago.
