Beyond Single-Model Injection: A Threat Model and Defense Architecture for Prompt Injection in Multi-Agent Systems
Factual evidence
What the source reports
Research outlines threat models and defenses for prompt injection risks unique to multi-agent AI systems and inter-agent workflows.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 22 September 2026
- Collected by OneBench
- 23 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.22949v1 Announce Type: cross Abstract: Existing prompt injection research focuses on single-model chatbot scenarios, where an attacker manipulates one LLM through crafted input. Multi-agent systems…
Short excerpt from the collected text, not the full source. Use the source link to read it in context.
The factual summary is a OneBench synthesis, not a quotation or independent verification. Collection time is not publication time. Open the source for its full context; related reporting can share the same underlying announcement.
OneBench interpretation
Institutional assessment
So what
Multi-agent orchestration introduces attack vectors across shared tool access and message passing that perimeter security controls cannot detect.
Do what
Review security controls with the team responsible for enterprise AI architecture before deploying autonomous multi-agent workflows.