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Design AI rate limiting for real-time avatars with admission control, fair queues, tenant quotas, graceful degradation and overload tests.
Design privileged access for private AI avatars with just-in-time roles, customer approval, break-glass controls, evidence and production tests.
Learn how to isolate tenant data, sessions, RAG, tools, caches and GPUs across shared, private-cloud and on-premise AI avatar deployments.
Control outbound connections from private AI avatars with workload-aware allow-lists, brokered APIs, payload limits and tested fail-safe behaviour.
Keep reusable credentials out of AI avatar model context with workload identity, secret brokering, scoped tokens and tested rotation.
Build an AI incident response plan that contains unsafe avatar behaviour, preserves evidence and restores service through tested recovery gates.
