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Agent runtime access, secrets & loops
In short
As AI agents move from one-shot prompts to loops, controlling how they use API access at runtime becomes the security boundary.
These guides explain how to let agents use approved API access across client workspaces without exposing raw secrets, asking humans for keys, or touching the wrong client account — and how a local-first runtime access layer keeps humans, raw secrets, and wrong-client access out of agent loops.
Start here
New to the problem? Start with the fundamentals of giving agents access without keys.
Agent loops & runtime access
As agents move from prompts to loops, runtime access becomes the new security boundary.
- → What is agent runtime access?
- → Why agent loops need runtime access control
- → What is loop engineering?
- → How to keep humans out of agent loops without exposing API keys
- → Why API keys become more dangerous when agents run in loops
- → Claude Code loops still need safe API access
- → Claude Code API key: setup, risks, and the safer pattern
- → Can Claude Code workflows expose API keys?
- → What is AI agent security?
Evidence & category
Verified numbers and the vocabulary of the field — sourced, dated, and updated.
Secrets & runtime access
Where the raw key lives, why that breaks for agents, and what controls runtime use instead.
Multi-client AI operations
Running agents across many client accounts without crossing tenant boundaries.
Agents should keep working. Humans should stop pasting keys.
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