ARE concept
Agent Authority in Autonomous AI Systems
An agent should never infer its own permission to act. Authority must be explicit, scoped, technically enforced, observable, and revocable.
Definition
Agent Authority is the explicitly defined and enforceable scope of actions an AI agent may perform, including the tools, systems, data, budgets, users, environments, delegation rights, approval requirements, and prohibited actions that bound its operation.
Capability is not authority. An agent may be technically capable of calling a tool, changing a record, sending a message, or creating another agent without being permitted to do so in every context. Reliable systems separate what an agent can do from what it is authorized to do for a specific task, identity, user, and period of time.
Dimensions of authority
Action scope
Which tools, operations, and side effects may be invoked.
Data scope
Which records, fields, classifications, and tenants may be read or changed.
Financial scope
Spending, transaction, refund, and aggregate budget limits.
Temporal scope
When permission begins, expires, pauses, or requires reauthorization.
Delegation scope
Whether authority may be transferred to tools, subagents, or downstream systems.
Approval scope
Which actions require human or policy-engine approval before execution.
Declared and effective authority
Declared authority is the intended scope documented in policy and system design. Effective authority is what the agent can actually achieve through its credentials, connected tools, inherited permissions, data access, delegation paths, and downstream side effects. Reliability engineering must evaluate the effective scope because hidden combinations of otherwise narrow permissions can create unexpectedly broad power.
Authority should be enforced outside the agent's prompt. Prompts may describe allowed behavior, but they cannot serve as the sole security boundary for permissions, budgets, approvals, or prohibited operations.
Authority control patterns
| Control | Purpose | Example |
|---|---|---|
| Least privilege | Limit access to the minimum required for the current task. | Issue task-specific credentials rather than reusing an administrator account. |
| Approval gates | Require review at consequential action boundaries. | Human approval before a high-value refund or external communication. |
| Budgets and quotas | Bound cumulative resource use and repeated actions. | Transaction, token, tool-call, and retry limits. |
| Policy enforcement | Evaluate actions independently of model instructions. | Deny restricted data access or prohibited destinations at runtime. |
| Revocation | Contract authority when risk or reliability changes. | Disable a credential or return the workflow to approval-required mode. |
Authority follows evidence
Progressive Autonomy treats authority as a reversible operating decision. An agent begins with narrow permissions and earns broader scope only when evaluations, runtime evidence, policy compliance, observability, and recovery tests justify the change. Every consequential action should retain authority lineage: who granted the permission, which policy applied, what scope was active, and how that authority was exercised or revoked.