Autonomous AI agents increasingly perform consequential actions on behalf of human principals, including financial transactions, external communications, and enterprise workflows. Existing agent infrastructure relies on identity federation and delegated authorization to authenticate workloads and control resource access, but it cannot determine whether an authorized action is appropriate under the current behavioral and operational context. AgentBound presents a runtime governance framework that provides verifiable behavioral oversight by evaluating each proposed action through three independent authorities and a formal decision model.
AgentBound evaluates each proposed action using three independent authorities: delegated authorization, owner-signed behavioral constitutions, and site action contracts. These components provide complementary checks: authorization confirms entitlement, constitutions capture owner-level behavioral constraints, and site contracts enforce local operational rules.
Each authority issues an independent judgment; those judgments are conservatively composed via a formal decision model to produce a single verdict on whether the action should proceed. The conservative composition emphasizes safety and compliance by ensuring that multiple perspectives constrain execution.
1. Map existing identity federation and delegated authorization mechanisms to ensure compatibility with the runtime governance layer.
2. Introduce owner-signed behavioral constitutions that encode expected agent behavior and are cryptographically verifiable.
3. Define site action contracts that specify local constraints and operational requirements for actions at each execution site.
4. Implement a runtime evaluator that queries the three authorities before action execution and applies the formal decision model.
5. Ensure auditability: log authority judgments, decision composition inputs, and final outcomes to enable verification and forensic analysis.
Successful deployment requires governance processes for creating, signing, distributing, and updating constitutions and site contracts. Automating policy distribution and providing clear audit trails keeps runtime decisions aligned with owner intentions and site requirements while allowing controlled updates.
AgentBound offers a practical runtime governance pattern that layers delegated authorization, owner-signed constitutions, and site action contracts, then conservatively composes their judgments via a formal decision model. This layered, verifiable approach helps enterprises introduce multi-layer behavioral oversight for autonomous agents, improving operational safety and policy compliance.
1. What problem does AgentBound address? It addresses the inability of authorization alone to decide if an authorized action is appropriate in a given behavioral and operational context.
2. Which three authorities does AgentBound use? Delegated authorization, owner-signed behavioral constitutions, and site action contracts.
3. What does conservative composition mean here? It means combining judgments in a way that prioritizes safety and compliance, restricting execution when uncertainties exist.
4. What must enterprises add to existing systems? A runtime evaluator, mechanisms for owner-signed constitutions, and site-specific action contracts.
5. Are decisions produced by AgentBound verifiable? Yes - the framework records authority judgments and composition inputs to support verification and audits.
Source: https://arxiv.org/abs/2606.30970