Topic: Securing Product AI: From R&D to Production
5:30pm -6:00pm - Networking & Dinner
6:00pm - 7:00pm - Presentation (CPE credits)
Organizations are rapidly adopting AI to boost productivity and streamline operations, and traditional security controls generally address these internal use cases well. But when AI is embedded directly into customer‑facing products and services—what this session refers to as Product AI—a fundamentally different set of security challenges must be tackled.
Product AI systems, typically built on cloud platforms such as AWS and Azure, span a full lifecycle: research, experimentation, development, deployment, and ongoing operations. Securing these workloads requires protecting data, models, agents, identities, APIs, and cloud infrastructure across highly distributed environments.
Using AWS as a reference architecture, this session highlights where and how security should be integrated throughout the Product AI lifecycle. No prior AWS or cloud background is needed; the focus is on security concepts, architectural patterns, and governance practices that apply across enterprise AI ecosystems. Attendees will gain practical approaches for securing and governing Product AI workloads at scale—earning CPEs while strengthening their readiness for real‑world AI adoption.
Speaker: Shelley Rossell, Cloud Security Architect, Solventum
Shelley Rossell is a senior cybersecurity leader specializing in cloud security and modern enterprise architectures. She currently serves as a Cloud Security Architect at Solventum, a global healthcare company, where she secures large‑scale environments across AWS, Azure, and Google Cloud. Previously, Shelley held key security roles at The University of Chicago, including Lead Information Security Engineer and Cloud Security Architect, and served as an Adjunct Associate Professor in Computer Science, mentoring emerging security professionals.
Her experience spans cloud architecture, network forensics, incident response, a