From Chasing Ghosts to Missed Attacks: Perspectives and Perceptions of SOC Practitioners on LLM Integration, Risks, and Readiness
cs.CR, cs.AI, cs.HC
Submitted: 2026-08-01
Updated: 2026-10-12
Code: https://github.com/openai/whisper
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- AI-Driven Guided Response for Security Operation Centers with Microsoft Copilot for Security
- Using LLMs to Automate Threat Intelligence Analysis Workflows in Security Operation Centers
- Large Language Models Are Unreliable for Cyber Threat Intelligence
- Towards Characterizing Cyber Networks with Large Language Models
- A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions
- Large Language Models for Cyber Security: A Systematic Literature Review
- LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centres
- Cognitive Bias in Decision-Making with LLMs
- LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks
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