The paper presents GAF-Guard, a multi-agent governance framework that combines pre-deployment risk questionnaires, real-time drift and risk monitoring, and incident reporting for LLM applications.
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GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models
The paper presents GAF-Guard, a multi-agent governance framework that combines pre-deployment risk questionnaires, real-time drift and risk monitoring, and incident reporting for LLM applications.