Tootfinder

Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance and Policy Enforcement
Helen Pervez, Suyash Gaurav, Jukka Heikkonen, Jatin Chaudhary
https://arxiv.org/abs/2508.18765

Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance and Policy Enforcement
As AI systems evolve into distributed ecosystems with autonomous execution, asynchronous reasoning, and multi-agent coordination, the absence of scalable, decoupled governance poses a structural risk. Existing oversight mechanisms are reactive, brittle, and embedded within agent architectures, making them non-auditable and hard to generalize across heterogeneous deployments. We introduce Governance-as-a-Service (GaaS): a modular, policy-driven enforcement layer that regulates agent outputs at…

A five-layer framework for AI governance: integrating regulation, standards, and certification
Avinash Agarwal, Manisha J. Nene
https://arxiv.org/abs/2509.11332 https://

A five-layer framework for AI governance: integrating regulation, standards, and certification
Purpose: The governance of artificial iintelligence (AI) systems requires a structured approach that connects high-level regulatory principles with practical implementation. Existing frameworks lack clarity on how regulations translate into conformity mechanisms, leading to gaps in compliance and enforcement. This paper addresses this critical gap in AI governance. Methodology/Approach: A five-layer AI governance framework is proposed, spanning from broad regulatory mandates to specific stand…

Airia, which is building a governance and orchestration layer for AI agents, raised $50M from its co-founder John Marshall, with an additional $50M commitment (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/09/16/airia-rais…

Airia raises $100M from its co-founder to build the security foundation for enterprise AI - SiliconANGLE
Airia raises $100M from its co-founder to build the security foundation for enterprise AI - SiliconANGLE

Urban AI Governance Must Embed Legal Reasonableness for Democratic and Sustainable Cities
Rashid Mushkani
https://arxiv.org/abs/2508.12174 https://arxiv.or…

Urban AI Governance Must Embed Legal Reasonableness for Democratic and Sustainable Cities
This position paper argues that embedding the legal "reasonable person" standard in municipal AI systems is essential for democratic and sustainable urban governance. As cities increasingly deploy artificial intelligence (AI) systems, concerns around equity, accountability, and normative legitimacy are growing. This paper introduces the Urban Reasonableness Layer (URL), a conceptual framework that adapts the legal "reasonable person" standard for supervisory oversight in municipal AI systems, i…