Successful AI deployment requires more than just choosing the right model—it demands a security-first architecture. This session provides a comprehensive pre-deployment security framework, covering everything from data pipeline protection to model governance. I'll share architectural patterns, security controls, and governance models that ensure AI initiatives launch safely and remain secure throughout their lifecycle.
IT teams will receive a practical, actionable checklist for securing AI deployments, along with architectural patterns and governance frameworks they can immediately implement.