EvidenceSpeculative future concernv1.22.1
In plain English
This page shows what kind of support exists for each claim: real systems, experiments, early evidence, architectural reasoning, open questions, or speculative scenarios.
- Why this matters: AI risk can come from the whole arrangement, not one obvious model.
- What to look for: data, memory, routes, adapters, tools, evaluators, updates, and rollback paths.
- Technical version below: the expert terminology remains available and is linked through the glossary.
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Evidence card
- Claim
- Interacting agents create security questions that extend beyond single-model evaluation.
- Evidence level
- Open research question
- Source
- https://arxiv.org/abs/2505.02077
- Publication date
- 2025-05-04
- Authors or institution
- Christian Schroeder de Witt
- System tested
- Research agenda and threat taxonomy rather than one empirical system.
- Limitations
- Programmatic agenda; not a controlled experiment.
- What the evidence does show
- Interacting agents create security questions that extend beyond single-model evaluation.
- What the evidence does not show
- That every proposed threat category has the same maturity or likelihood.
- Date last reviewed in UTC
- 2026-06-26T00:00:00Z
Site use
This source supports Cognivirus.com pages related to multi-agent security, interaction protocols, persistent threats. Its role is bounded by the limitations listed above.