Research
An Exploration of Attacks on AI Agent Systems
Publication date unknown · Discovered arxiv.org
Page published
Publication date unknown · First observed: 14 Oct 2026
Coverage timeline
Single-source research — one report is available.
Why it matters
Prompt injection that propagates across agents in multi-agent frameworks threatens real-world agentic workflows, showing defenders how a single compromised agent can cascade into data leakage and cross-agent infection.
The arXiv paper "An Exploration of Attacks on AI Agent Systems" (arXiv:2610.12524) investigates how prompt injection attacks exploit both direct user inputs and inter-agent communication to leak sensitive information and trigger cross-agent infections. The authors demonstrate vulnerabilities primarily in single-agent systems and extend the attacks to multi-agent frameworks to show how weaknesses propagate across agents.