# Secret Collusion among AI Agents: Multi-Agent Deception via Steganography

**Source:** https://arxiv.org/abs/2402.07510  
**Authors or institution:** Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip H. S. Torr, Lewis Hammond, Christian Schroeder de Witt  
**Publication date:** 2024-02-12  
**Publication status:** NeurIPS 2024 / arXiv metadata available  
**Evidence level:** Experimentally observed  
**Date last reviewed in UTC:** 2026-06-26T00:00:00Z

## Direct findings or source content

Covert communication and collusion are concrete multi-agent evaluation topics.

## Cognivirus interpretation

For Cognivirus.com, this source is used to examine risk at the level of adaptive systems, component compositions, evaluator boundaries, and behavioral persistence. The site interpretation is narrower than the source when the source is experimental, and more explicitly qualified when the source is architectural or programmatic.

## Limits

Specific experimental game/task designs; not evidence that arbitrary deployed agents collude. That model ecologies inevitably form coalitions or have shared intent.

## Source handling

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