INTERFACE Anchorage
Presented by Steven Gautier, Principal Solutions Architect • Thales
Organizations across every industry are rapidly adopting Generative AI, machine learning, and AI-powered applications to improve efficiency, automate processes, and unlock new insights from their data. However, these technologies also introduce new security challenges.
AI systems rely heavily on enterprise data, APIs, and interconnected applications, creating potential risks such as sensitive data exposure, prompt injection attacks, API abuse, and unauthorized access to AI models.
- In this session, we will explore the security architecture required to safely deploy AI technologies within modern enterprise environments.
- Attendees will learn practical strategies for protecting the data that powers AI models, the APIs that deliver AI services, and the applications that integrate AI into business workflows.
- The session will also cover emerging AI-specific threats, governance considerations, and best practices organizations can use to maintain security, compliance, and trust while accelerating AI adoption.
- Participants will leave with a clear framework for securely enabling AI innovation across cloud, hybrid, and on-premises environments.