kaal:position:2026-07-31-7564
Agentic AI Governance Framework for Real-Time Fraud Detection in Digital Payment Systems: A Multi-Layered Architecture for Financial Security presents the following source proposition: This paper proposes a comprehensive Agentic AI Governance Framework (AAGF) designed to orchestrate multi-agent systems for real-time fraud detection while ensuring regulatory compliance, explainability, and auditability. This proposition is pertinent to Kaal's source-bound claim that Taken together, the transparency, decentralized decision making, and automated real time response properties of the proposed model make decentralized governance superior to AI driven supervision for secure, compliant, and efficient execution of AI agent transactions. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.
decentralizationgovernance-designai-and-agentscompliancehistorical-responsescholarly-literaturecrossref