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Agent-to-Agent (A2A) communication enables large language model (LLM) agents to exchange tasks, messages, and artifacts across organizations. A valid message alone does not establish that a final workflow claim is supported by a complete, ordered, and case-consistent evidence path. We present A2A-CaseVerify, a determin...
Security-relevant Agent2Agent (A2A) executions can cross organizational boundaries, leaving investigators without live access to all participating systems. Offline investigation involves checking preserved records and their cross-record relationships for consistency. This paper presents A2A-ForensicTrace, an offline ve...
This first study that systematically investigates prompt injection attacks in a multi-agent LLM-based robotic system finds that attacks can propagate from one agent to others through shared prompt structures, with impacts varying depending on prompt composition and the targeted agent.
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