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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.20042391 |
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Table of Contents:
- <p><strong>Core Idea — Runtime Governance for Agentic AI</strong><br>This preprint by Clive Aldred proposes a comprehensive governance framework that shifts trustworthy agentic AI from post-execution audits to real-time, cryptographically enforced compliance. It directly addresses the challenges of deploying autonomous AI agents in high-stakes cross-border fintech, crypto settlements, and legal arbitration.</p> <p><strong>Key Components</strong></p> <ul> <li class="custom-li"><strong>Runtime Agentic Trust Schema (RT-ATS) + Finality Gate</strong>: Uses Trusted Execution Environments (TEE) or Multi-Party Computation (MPC) to block non-compliant tool calls <em>before</em> they execute, based on sealed cryptographic predicates.</li> <li class="custom-li"><strong>Adaptive Jurisdictional Determinism (A-JD)</strong>: Combines Retrieval-Augmented Generation (RAG) over legal databases (e.g., case.law) with solver-based reasoning to dynamically determine which jurisdiction’s rules apply and resolve conflicts.</li> <li class="custom-li"><strong>Red-Teaming ADTL</strong>: An interactive benchmarking suite that detects behavioral drift, prompt injection, and tool poisoning in multi-agent systems using sandboxing and fingerprinting.</li> <li class="custom-li"><strong>Dynamic Trust-Utility Frontier (DTUF)</strong>: Balances trust, utility, uncertainty, differential privacy budgets, and human-in-the-loop costs in real time.</li> </ul> <p><strong>Practical Relevance</strong><br>The framework is explicitly mapped to the EU AI Act (Articles 9–14), ISO 42001, and MCP security standards. It includes open-source LangGraph/MCP adapters, Merkle-anchored provenance via Agent Identity Documents (AIDs), and W3C Verifiable Credentials for human oversight. The author draws on real-world experience with international payments, Bitcoin Core settlements, regulatory friction, and insurance disputes to argue that verifiable compliance must become infrastructural — not an afterthought.</p> <p>In essence, the paper presents a production-ready “governance substrate” that aims to make autonomous AI agents legally admissible and regulator-ready by design, particularly for fintech and DeFi environments operating across conflicting global rules.</p>