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TL;DR * Controlling LLM access across teams means authenticating each caller, authorizing which models and tools that caller may reach, and recording the decision, enforced on the request path rather than in application code. * Controlling access per team takes five controls: scoped credentials, identity sync, separation of permission from visibility,

TL;DR * LLM vendor lock-in happens when application code, SDK choice, prompt formatting, fine-tunes, or auth mechanism tie a team to one provider's pricing, availability, and roadmap. * The most durable defense is an OpenAI-compatible unified interface, so any provider can be swapped in without SDK

TL;DR * An AI audit trail for LLM traffic is a signed, retained record of who called which model, with what prompt and response, at what cost, and which policy fired, produced at the gateway so it covers every request. * The runtime controls that belong at the LLM traffic layer