Before the Tool Call: Deterministic Pre-Action Authorization for Autonomous AI Agents
Uchi Uchibeke

TL;DR
This paper introduces the Open Agent Passport (OAP), a deterministic, policy-based authorization system that intercepts and evaluates tool calls in AI agents before execution, significantly improving security and compliance.
Contribution
It presents the OAP framework as an open standard for pre-action authorization, enabling real-time enforcement and cryptographic auditing of tool calls in autonomous AI agents.
Findings
OAP enforces authorization decisions in median 53 ms
Adversarial tests show 0% success rate under restrictive policies
OAP effectively prevents social engineering attacks in live tests
Abstract
AI agents today have passwords but no permission slips. They execute tool calls (fund transfers, database queries, shell commands, sub-agent delegation) with no standard mechanism to enforce authorization before the action executes. Current safety architectures rely on model alignment (probabilistic, training-time) and post-hoc evaluation (retrospective, batch). Neither provides deterministic, policy-based enforcement at the individual tool call level. We characterize this gap as the pre-action authorization problem and present the Open Agent Passport (OAP), an open specification and reference implementation that intercepts tool calls synchronously before execution, evaluates them against a declarative policy, and produces a cryptographically signed audit record. OAP enforces authorization decisions in a measured median of 53 ms (N=1,000). In a live adversarial testbed (4,437…
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Taxonomy
TopicsAdversarial Robustness in Machine Learning · Access Control and Trust · Ethics and Social Impacts of AI
