mlsanityData to 7 Oct 2026

Using LLMs to Automate Threat Intelligence Analysis Workflows in Security Operation Centers

arXiv 2407.13093 ↗First posted 18 Jul 2024cs.CRcited by 10

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Abstract (arXiv)

SIEM systems are prevalent and play a critical role in a variety of analyst workflows in Security Operation Centers. However, modern SIEMs face a big challenge: they still cannot relieve analysts from the repetitive tasks involved in analyzing CTI (Cyber Threat Intelligence) reports written in natural languages. This project aims to develop an AI agent to replace the labor intensive repetitive tasks involved in analyzing CTI reports. The agent exploits the revolutionary capabilities of LLMs (e.g., GPT-4), but it does not require any human intervention.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Jul 2024.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 5; 2026: 4.

10 papers.