Arcade.dev

Arcade sits between your AI agents and the business systems they touch. If you’re trying to deploy agents that can actually do work (update records, act in SaaS apps, execute workflows) without giving up security control, it’s built for that gap.

It’s designed for enterprise teams that need consistent enforcement, reliable tool execution, and clear accountability across many agents and many tools.

• Enforce via your IdP: Authentication uses your identity provider flows. Authorization stays inside your existing scope, so agent actions don’t drift beyond what the user is allowed to do.
• Permission-aware execution: Runs actions against tools that understand permissions. It also includes evaluation to catch hallucinated or destructive calls before they run.
• Govern from one control plane: Grants, revokes, and versions tool access centrally. Each action produces an auditable record that names the agent, the user, and the system touched.
• Integrate across your stack: Works alongside the identity, policy, and observability tools you already use. It’s framework-agnostic for agent clients and LLMs.

Arcade targets the security problems that come with common agent approaches. It avoids shared service accounts that reduce permissions and hurt accountability. It also avoids inheriting broad user access without a way to shrink the boundary or cleanly separate audit trails. It also removes the need for teams to build and maintain their own agent governance and integration infrastructure as tool counts grow.