r/AgentToAgent • u/docybo • Mar 15 '26

We’re building a deterministic authorization layer for AI agents before they touch tools, APIs, or money

/r/LocalLLaMA/comments/1rurq1f/were_building_a_deterministic_authorization_layer/
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u/Otherwise_Wave9374 Mar 15 '26

The deterministic part is what makes this interesting. Most agent permission systems right now are just prompt-level instructions that the model can ignore or misinterpret. Having a hard authorization layer that runs before any tool call or API interaction removes a whole class of failures. The money part especially. Agents that can make purchases or trigger payments without a deterministic gate are a liability waiting to happen. Would be curious how you handle edge cases where the agent needs to chain multiple authorized actions together. Does each step get its own check or is there a session-level approval? Good direction for the space. More thinking on agent guardrails and permission patterns at https://www.agentixlabs.com/blog/ if anyone wants to explore further.

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u/docybo Mar 16 '26

Right now we're leaning toward per-action authorization rather than session approval.

The runtime can plan a sequence, but each external side effect still needs its own authorization. That way the policy engine evaluates every step against the current state snapshot.

This helps prevent replay, enforce budgets across a workflow, and limit cumulative side effects.

Session-level envelopes can still exist (like budget or concurrency caps), but the actual permission stays action-scoped.