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Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale

Microsoft Research Blog / 5/1/2026

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Key Points

  • The article argues that even if individual AI agents are “safe,” the overall ecosystem can still fail when agents are interconnected and operate at scale.
  • Microsoft Research investigates what specific things break during interactions among AI agents and explains the underlying reasons.
  • It highlights that network-level risks differ from single-agent risks and therefore call for new safety approaches beyond traditional red-teaming of one model.
  • The piece frames AI-agent safety as a system problem, emphasizing the need to evaluate interactions and emergent behaviors across a multi-agent network.

Safe agents don’t guarantee a safe ecosystem of interconnected agents. Microsoft Research examines what breaks when AI agents interact and why network-level risks require new approaches.

The post Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale appeared first on Microsoft Research.

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