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Cybersecurity pros adopt LLMs for efficiency but cite reliability risks

By PulseAugur Editorial · [1 sources] ·

A new research paper analyzes discussions on Reddit from December 2022 to September 2025 to understand how cybersecurity practitioners use and perceive large language models (LLMs). The study found that while LLMs offer efficiency gains for low-risk tasks, issues with reliability, verification, and security risks limit their autonomy in security operations. The research provides recommendations for developing and adopting LLM tools to enhance organizational security and practitioner safety. AI

RANK_REASON The cluster is based on an academic paper published on arXiv detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Cybersecurity pros adopt LLMs for efficiency but cite reliability risks

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The cluster is based on an academic paper published on arXiv detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Souradip Nath, Chih-Yi Huang, Aditi Ganapathi, Kashyap Thimmaraju, Jaron Mink, Gail-Joon Ahn ·

    Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit

    arXiv:2604.09998v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have recently emerged as promising tools for augmenting Security Operations Center (SOC) workflows, with vendors increasingly marketing autonomous AI solutions for SOCs. However, there remains …

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