Guardrails

As agents take on more of the software lifecycle, "what is this agent allowed to reach?" becomes a design decision, not an afterthought. A capable agent with broad access is a broad risk; the same agent with a tight, deliberate boundary is a safe one. Guardrails are where that boundary is drawn. They are preventative by nature: they set the limits up front, so the agent works inside them from its first action instead of being corrected after the fact, the way monitoring or an audit trail records what already happened.

Guardrails come in two families. Action and scope guardrails bound what the agent can do in the world: the tools it may call, the repositories and systems it may touch, and the data it may read, usually through scoped permissions and least-privilege identity. Content guardrails bound what flows through the model: filtering unsafe or malformed inputs and screening outputs for leaked data. Drawing the box is one job; holding the agent to it on every action is another, which is the role of policy enforcement. In Overcut, the scoped access behind these boundaries is held in the control plane, so the same limits apply to every agent and repository instead of being set by hand per task.

A team gives an agent the job of upgrading a dependency in one service. The agent's identity is scoped to that single repository, with read access to its code and permission to open a pull request, and nothing else. When the agent resolves the change, it has no credential that reaches production, no path to another team's repository, and no ability to push directly to the main branch. Its content guardrails also screen the diff so a hardcoded secret never lands in the commit. Even if the agent produced a flawed plan, the boundary holds: the blast radius is the one service it was scoped to, because the things outside the box were never reachable in the first place.