New arXiv Research Paper
arXiv ID: 2609.30830
Title: AGATE: Provenance-Based Runtime Defense Against Compositional Attacks on LLM Agents
Authors: Xiaorui Zhang, Zhuoran Cheng, Kailin Liu, Zhaoxi Sun, Shiyu Fan, Tongyu Yuan, Bin Yuan, Weizhong Qiang, Deqing Zou
Published: 2026-09-25T05:18:02Z
URL: https://arxiv.org/abs/2609.30830
Abstract (first 300 chars)
LLM agents can produce harmful effects through sequences of ordinary operations. Judging such actions requires establishing both the authority that permits them and the origin of the data they carry. We present AGATE, an authorization and data-provenance gate at instrumented agent-harness boundaries…
Suggested OWASP Mapping
ASI01, ASI02
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.
New arXiv Research Paper
arXiv ID: 2609.30830
Title: AGATE: Provenance-Based Runtime Defense Against Compositional Attacks on LLM Agents
Authors: Xiaorui Zhang, Zhuoran Cheng, Kailin Liu, Zhaoxi Sun, Shiyu Fan, Tongyu Yuan, Bin Yuan, Weizhong Qiang, Deqing Zou
Published: 2026-09-25T05:18:02Z
URL: https://arxiv.org/abs/2609.30830
Abstract (first 300 chars)
Suggested OWASP Mapping
ASI01, ASI02
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.