SOURCE-LINKED INTELLIGENCE
Risks and Controls for Multi-Agent Systems: an analytical framework for deployment of AI agents across organisational boundaries
This report presents a framework to help organisations, policymakers and researchers reason about the risks that emerge when AI agents interact with each other, how those risks change as interactions cross organisational boundaries, and the controls that may help address them. As organisations deploy AI agents, those agents will increasingly interact with each other: inside the organisation, with the agents of partners, customers and suppliers, and with unknown counterparties on the open internet. Failures can emerge from the interactions themselves, and once those interactions cross an organi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T05:28:06.000Z
First collected: 2026-09-21T08:51:59.673Z. This is not the publication date.