Securing AI for Healthcare and Life Sciences

Event Overview

In the rapidly evolving landscape of Life Sciences & Healthcare cybersecurity, the role of a Chief Information Security Officer (CISO) has never been more challenging. According to Gartner, 80% of CIOs plan to increase their cybersecurity investments in 2024. This increase is driven by the expanding attack surface, increase in scope and public visibility to ransomware incidents, and the rapid proliferation of generative AI (GenAI) use cases, which introduce new and unknown risks. As AI adoption grows, so too do the security challenges it presents. But how can security teams support safe innovation while mitigating new risks?

Featured Speakers

Sanaz Cordes

World Wide Technology

Chief Healthcare Advisor & Global Life Science

Dr. Cordes is a physician executive, entrepreneur, and thought leader with a track record for helping organizations grow revenue through disruptive innovation. She is currently the Chief Healthcare Advisor and Global Life Science Lead for World Wide Technology, where she helps enterprise healthcare organizations solve complex business problems. Prior roles include CEO of DotCom Therapy an Chief Commercial and Operations Officer at Healthfinch, Inc. that was acquired by Health Catalyst.

Kent Noyes

World Wide Technology

Global Head of AI & Cyber Innovation

Kent Noyes is currently the Global Head of AI & Cyber Innovation at at World Wide Technology, a world-class technology solution provider. Starting as a consultant with a Cisco CCIE certification 24 years ago, Kent advanced through various engineering, architecture, and leadership roles. As WWT's first Distinguished Solutions Architect, he specializes in AI Security and solving complex business challenges in that domain.

What to expect

During this conversation you will hear about:

Overview of the current Threat Landscape for Healthcare & Life Sciences; common threat vectors
Ways to secure your organization against bad actors using Generative AI
How to protect my LLM-powered architecture and AI systems and data
Current and emerging threats generated by AI
Use AI to enhance your security posture
Review of Modern AI threats and attacks

Goals and Objectives

Better understand risk in the context of AI, how security can impact LLM models and API extensions, how security teams can lean on co-pilots, and how security teams can position themselves to take on the uncertain (yet exciting) future of AI advancement.

Who should attend?

Members of the Health Information Sharing and Analysis Center (H-ISAC) Life Science & Healthcare CISOs and other security leaders, IT professionals and security personnel