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paperAugust 2026UnreviewedOpen access

LLM Copilot for Privacy-Respecting Cyber Incident Response

Pramod Prakash

International Journal of Intelligent Systems and Data Science

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Abstract

Security operations centers face challenges in managing complex cyber incidents while protecting sensitive forensic data. This paper introduces a multi-agent LLM framework for automating incident response through collaborative planning, execution, analysis, and reflection. We develop a benchmark comprising 130 subtasks across 12 cyber-range scenarios mapped to NIST Incident Response stages (Detection, Response, Recovery), with ten difficulty levels. The system is evaluated using six LLM variants

Categories

Benchmarks & EvaluationAgent Architecture

Cite

@article{prakash2026llm,
  title = {{LLM Copilot for Privacy-Respecting Cyber Incident Response}},
  author = {Pramod Prakash},
  year = {2026},
  month = aug,
  journal = {International Journal of Intelligent Systems and Data Science},
  doi = {10.67231/6s96yv20},
  url = {https://www.semanticscholar.org/paper/86e9f5c49f74bf0364fb6703f68e151b2cb0b68a}
}