Whitelisting
Allowing only pre-approved data sources, libraries, or model components in AI pipelines to reduce risk from unvetted or malicious elements.
A restrictive security control where only explicitly authorized artifacts - dataset URIs, Python packages, container images - are permitted in training and inference workflows. Governance maintains a central whitelist registry with approval workflows for additions and periodic reviews to remove obsolete entries, ensuring all pipeline components meet organizational security and compliance standards.
A financial-services firm configures its MLOps environment so that only Docker images from the internal “approved-images” registry can run training jobs. Any attempt to use unlisted images is automatically blocked, preventing introduction of unvetted code or vulnerabilities.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
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