Zero-Trust Data Access for AI Training: New Architecture Patterns for Cloud and On-Prem Workloads

As AI workloads grow more distributed and automated, traditional data access controls fail to protect sensitive training data. Zero-trust data access introduces continuous verification, granular policies, and workload identities to secure AI pipelines across cloud, on-prem, and hybrid environments.