Risks and Controls for Multi-Agent Systems: an analytical framework for deployment of AI agents across organisational boundaries
3.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.26626.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryThis report presents a framework for analyzing risks arising from AI agent interactions, particularly when those interactions cross organizational boundaries. It defines three deployment tiers—singular, federated, and open governance—each with distinct risk factors, failure modes, and applicable controls, and identifies where collective action is required.
Why it mattersProvides a structured taxonomy for multi-agent deployment risk across organizational perimeters. Useful for teams planning cross-organization agent integrations or drafting governance policies for agent ecosystems.
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