IAM and Privileged Access Foundations for Secure ML Platforms

Learn to establish robust identity and access management (IAM) and privileged access management (PAM) foundations for secure machine learning platforms in this 12-minute conference talk. Explore modern IAM challenges specific to enterprise machine learning environments and master identity lifecycle management from provisioning to deprovisioning. Understand how HR systems serve as authoritative sources for lifecycle events including onboarding, role changes, offboarding, and rehiring processes. Discover access governance principles through certification campaigns and least privilege implementation, then dive into role-based access control (RBAC) strategies tailored for ML teams. Examine privileged access management techniques for securing administrative and service accounts, including vaulting, credential rotation, and session monitoring for ML pipelines. Gain insights into unifying IAM and PAM systems for centralized governance and compliance requirements in machine learning operations.