ASPIRE: Agentic Safety & Prompt Injection Red-teaming Engine

Reported by arXiv cs.CR (Pengfei He, Deep Mitra, Vishesh Sharma, Jiliang Tang, Vinay S Rao, Tomas Pfister, Long T. Le)

Summary by Cyber Security News8 Oct 2026, 06:00 CEST

About this summary. This is a short, independently written summary of an article first published by arXiv cs.CR. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.08951

arXiv:2610.08951v1 Announce Type: new Abstract: LLM agents retrieve untrusted content and act through tools, creating indirect prompt-injection risks that can cause unauthorized actions or persistent state changes. Existing automated red-teaming largely optimizes payloads for pre-specified scenarios, leaving latent vulnerabilities across the agent's behavior space unexplored.

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