Critical AI Agents Are Becoming Authorization Bypass Paths (2026)

Not long ago, AI agents were harmless. They wrote snippets of code. They answered questions. They helped individuals move a little faster.

Instead of personal copilots, companies started deploying shared organizational AI agents - agents embedded into HR, IT, engineering, customer support, and operations. Agents that don’t just suggest, but act. Agents that touch real systems, change real configurations, and move real data:

These agents warrant deliberate control and oversight. They’re now part of our operational infrastructure. And to make them useful, we made them powerful by design.

Organizational agents are typically designed to operate across many resources, serving multiple users, roles, and workflows through a single implementation. Rather than being tied to an individual user, these agents act as shared resources that can respond to requests, automate tasks, and orchestrate actions across systems on behalf of many users. This design makes agents easy to deploy and scalable across the organization.

To function seamlessly, agents rely on shared service accounts, API keys, or OAuth grants to authenticate with the systems they interact with. These credentials are often long-lived and centrally managed, allowing the agent to operate continuously without user involvement. To avoid friction and ensure the agent can handle a wide range of requests, permissions are frequently granted broadly, covering more systems, actions, and data than any single user would typically require.

While this approach maximizes convenience and coverage, these design choices can unintentionally create powerful access intermediaries that bypass traditional permission boundaries.

Organizational agents often operate with permissions far broader than those granted to individual users, enabling them to span multiple systems and workflows. When users interact with these agents, they no longer access systems directly; instead, they issue requests that the agent executes on their behalf. Those actions run under the agent’s identity, not the user’s. This breaks traditional access control models, where permissions are enforced at the user level. A user with limited access can indirectly trigger actions or retrieve data they would not be authorized to access directly, simply by going through the agent. Because logs and audit trails attribute activity to the agent, not the requester, this unauthorized activity can occur without clear visibility, accountability, or policy enforcement.

Source: The Hacker News