
PlanFlip: New Attack Method Exploits Planning Phase in Multi-Agent AI Systems
Researchers from ArXiv cs.AI introduced PlanFlip, a framework of four prompt injection attacks targeting the planning phase of multi-agent LLM systems. A single injection into the Planner's context can cascade to corrupt all downstream sub-tasks, posing a critical security risk for applications like customer service bots and automated decision-making tools.









