Arcade.dev sits in the path of every action an agent takes, so what happens when something breaks? How retries and failover absorb tool failures, why a compromise stays contained, and how you control runtime availability.
Once teams accept that the model never sees credentials, the next question is where the tokens live and who holds the keys. Arcade.dev stores them in an encrypted, per-user vault, in its cloud or entirely inside your own environment.
Background agents run on a schedule or a trigger, with no one there to approve access. Arcade.dev decouples authorization from the live session so they act under real, delegated user authority, re-checked at the moment of every action.
Every enterprise AI security review asks the same thing: can the model see the credentials? With Arcade.dev, the LLM never touches a token. Credentials stay in the runtime, authorized just in time, never in the reasoning loop.
