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March 12, 20260 citationsOpen Access

PROVA: Proof-based Reasoning for Operating Verified Agents — A Formally Verified Pre-Execution Safety Gate for AI Agent Frameworks

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GHGerhard HirschmannESElisabeth Steurer

Key Points

  • The aim is to create a secure AI agent framework that addresses vulnerabilities in traditional probabilistic authorization systems.
  • Developed the PROVA framework incorporating a formally verified pre-execution safety gate.
  • Replaced traditional probabilistic authorization with OR1ON's prove() primitive.
  • Designed to secure actions of AI agents against vulnerabilities like CVE-2026-25253.
  • Achieved 0 false positives on critical actions.
  • Demonstrated an average safety gate latency of 0.09ms.
  • Ensured 100% detection of prompt injection attacks.
  • Provided a full Merkle-signed audit trail for accountability.
  • Achieved compliance with the EU AI Act Hochrisiko by design.

Abstract

We present PROVA (Proof-based Reasoning for Operating Verified Agents), the first AI agent framework built around a formally verified pre-execution safety gate. In response to CVE-2026-25253 (CVSS 8.8, OpenClaw one-click RCE, 42,000+ affected instances), we demonstrate that the root cause of AI agent security vulnerabilities is architectural: probabilistic LLMs cannot reliably authorize agent actions. PROVA replaces probabilistic authorization with OR1ON's prove() primitive. Every agent action is formally proven safe before execution, or the system abstains. Key results: 0 false positives on critical actions, 0.09ms average safety gate latency, 100% prompt injection detection, full Merkle-signed audit trail, EU AI Act Hochrisiko compliant by design.

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Cite This Study

Hirschmann et al. (2026) studied this question.

synapsesocial.com/papers/69b25aca96eeacc4fcec8d5fhttps://doi.org/10.5281/zenodo.18943480
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