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The aim is to establish a governance framework for agentic AI that ensures real-time compliance rather than relying on audits after deployment.

May 7, 2026Open Access

Trustworthy Agentic AI: A Governance Framework

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The aim is to establish a governance framework for agentic AI that ensures real-time compliance rather than relying on audits after deployment.
Introduced a Runtime Agentic Trust Schema (RT-ATS) with cryptographic enforcement to block non-compliant actions.
Developed Adaptive Jurisdictional Determinism (A-JD) using legal databases and solver-based reasoning.
Implemented a Red-Teaming framework for behavioral drift analysis in multi-agent systems.
Demonstrated enhanced compliance outcomes using real-time cryptographic enforcement methods.
Showed that the governance framework aligns with EU AI Act and international security standards.
Provided a practical approach to make AI agents legally admissible in cross-border fintech applications.

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Preprint proposes real-time governance for autonomous AI agents, suggesting improved compliance in fintech and legal contexts.

Clive Gerald Aldred (2026) studied this question.

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