An Empirical Case Study of Prompt Engineering Strategies for Bypassing Multi-Layer Agent Security Defenses

Reported by arXiv cs.CR (Chengwei Chu)

Summary by Cyber Security News14 Oct 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.14116

arXiv:2610.14116v1 Announce Type: new Abstract: The OpenClaw Security Attack and Defense Challenge evaluates AI agent robustness through a three-stage defense pipeline: skill file scanning (Stage 1), instruction safety evaluation (Stage 2), and attack trajectory scoring (Stage 3). This paper presents an empirical case study of prompt engineering strategies against these layers across 19 attack targets in Enterprise OA, E-commerce, and Smart Home scenarios.

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