Least-Privilege AI Agents: Identity & Permissions in Harness

Harness's security model for Autonomous Worker Agents emphasizes inherited governance and strict authorization to ensure secure and efficient execution within production pipelines. The model splits into two main categories: isolation, which addresses what happens if an agent is compromised, and authorization, which delineates what an agent can do when functioning correctly. The agents operate under the principle of least privilege, inheriting just enough access to perform their tasks, using scoped, ephemeral tokens that are closely tied to the user who initiated the process. This setup ensures that the agents do not have broad, standing privileges, and their actions are tightly controlled and audited. The security framework also extends existing RBAC and policy governance to agents, ensuring that every step, from agent creation to execution, is subject to rigorous checks. These controls are enforced server-side, ensuring consistency and accountability, thereby minimizing risk in the event of both intended and unintended actions by the agents.

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