SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems
Multi-agent systems improve capability through task decomposition and role specialization, but these same mechanisms introduce an important safety blind spot: a harmful objective can be fragmented into locally plausible subtasks, allowing malicious intent to evade detection by any single agent. This is a growing social-impact challenge: systems handling sensitive information or consequential tools can turn routine delegation into unauthorized disclosure or unsafe action. We argue that this failu
Record details
Published: 28 July 2026
Source: arXiv red teaming query
Category: Research
Topics: Agents & autonomy · Transparency
Retrieved: 31 July 2026
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How to cite this record
ethics.ai (28 July 2026), “SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems,” evidence record 15243, https://ethics.ai/record/15243 (originally published by arXiv red teaming query).
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