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Peng Gao

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#artificial intelligence Review Oct 2026

From Investigation Failures to Reliable SOC Agents: Understanding and Improving LLM-Based Alert Triage

Security operations centers (SOCs) must triage large volumes of alerts, most of which are benign, while missed attacks can remain uninvestigated. Tool-using large language model (LLM) agents can retrieve evidence during triage, but it remains unclear how reasoning strategies determine what to gather and when an investi...

Saimon Amanuel Tsegai, Alex Kantchelian, Dan-Feng Yao et al. · 0 citations
#natural language process... Preprint Aug 2026

BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence

BEACON is an LLM-driven framework for cross-source CTI knowledge graph construction that constructs and releases two human-annotated datasets from 34 sources and outperforms all baselines by at least 23% and 9%, respectively.

Chang-Ze Li, Yutong Cheng, Tsania Camila Finnisa et al. · 0 citations
Preprint Aug 2026

AgentFlow: A Flow-Centric Policy Language and Framework for Securing LLM Agent Systems

AgentFlow, a flow-centric policy language and runtime enforcement model for specifying where data may travel in agent systems, is presented and results are preliminary and scoped to the modeled policy-visible agent behaviors and evaluated benchmarks.

B. Shivakumar, Swarn Priya, Peng Gao · 2 citations

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