Zero-trust around AI workloads matters more than around traditional services. The blast radius is bigger and the threat surface includes prompts, training data, and model artifacts.
The Reference Design
- 01Identity-aware access at the model boundary
OAuth + per-user rate limiting; never shared API keys.
- 02Prompt injection defenses (input sanitization)
Strip system-prompt-like sequences from user input.
- 03Output filtering for PII and prompt leakage
Regex + LLM-based filter on every response.
- 04Per-tenant network isolation for self-hosted models
EKS namespaces + NetworkPolicy.
- 05Immutable audit log for every prompt + response
S3 Object Lock or equivalent.
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