Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning

# Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning

https://gcdradar.vercel.app/incidents/black-box-red-teaming-of-multi-agent-systems-via-reinforceme · AIR-2026-1464 · closed 2026-11-05

- Lane: Research
- Severity: 1 (Research / proof of concept)
- Fix status: Fix status unknown
- First reported: 2026-10-22
- AI role: Attack on AI

## Summary

Researchers present ReMAS, a reinforcement learning-based red-teaming framework designed to generate adversarial prompts against multi-agent systems. The approach successfully extracts system prompts from sub-agents that do not directly interact with users.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2026-10-22: Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning (https://arxiv.org/abs/2610.28966)

## Sources

- 2026-10-22 arXiv: Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning https://arxiv.org/abs/2610.28966

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.