Least Privilege
A security principle where AI components and users are granted only the minimal access rights necessary to perform their functions, reducing risk of misuse.
A foundational access-control policy: data-stores, model-registry, and compute environments assign roles with granular permissions (read/write/execute) scoped narrowly. Governance enforces least privilege through IAM (identity and access management) reviews, automated role audits, and just-in-time privilege elevation for emergency tasks - minimizing attack surface and insider-threat risks.
An enterprise MLOps platform restricts data-scientist accounts to only training-dataset access; they must request elevated access via a ticket and manager approval to view full production logs. Automated quarterly reviews revoke unused privileges, ensuring no backdoors remain.
“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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What problem does Enzai solve?
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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