Quota Management
The controls and limits placed on AI resource usage (e.g., API calls, compute time) to enforce governance policies and prevent runaway costs or abuse.
Implements throttling, rate-limiting, and daily or monthly caps on resource consumption per user, team, or application. Quotas protect against denial-of-service, uncontrolled spending, and model-extraction attacks. Governance defines quota policies aligned to SLAs and budgets, monitors usage dashboards, and auto-notifies or blocks users when thresholds are reached, ensuring fair usage and cost predictability.
A research organization sets a monthly GPU-hour quota of 100 hours per project. When a project exceeds 80 hours, an automated notification emails the team lead; at 100 hours, further training jobs are queued until quota increases are approved - preventing unexpected cloud charges and resource contention.
“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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