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There’s a s.m.a.r.t. way to write management’s goals and objectives
Dolan, G. T · 1981
Earlier work this paper cites.
Parkinson’s law
Parkinson, C. N. c. N · 1986
Earlier work this paper cites.

Similar

Nist special publication 800-34 rev.1, contingency planning guide for federation information systems, 2010
Original
Swanson, M., Bowen, P., Phillips, A. W., Gallup, D., and Lynes, D · 2010
Cited alongside, same era.
Semantic versioning 2.0.0
Preston-Werner, T
Cited in the paper.

Then

Nist special publication 800-61 rev. 2, computer security incident handling guide, Aug 2012
Cichonski, P., Millar, T., Grance, T., and Scarfone, K · 2012
Later among the works it cites.

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2024

Employing LLMs for Incident Response Planning and Review

Hays, Sam, White, Jules

Understand

Incident Response Planning (IRP) is essential for effective cybersecurity management, requiring detailed documentation (or playbooks) to guide security personnel during incidents.

Yet, creating comprehensive IRPs is often hindered by challenges such as complex systems, high turnover rates, and legacy technologies lacking documentation.
This paper argues that, despite these obstacles, the development, review, and refinement of IRPs can be significantly enhanced through the utilization of Large Language Models (LLMs) like ChatGPT.
By leveraging LLMs for tasks such as drafting initial plans, suggesting best practices, and identifying documentation gaps, organizations can overcome resource constraints and improve their readiness for cybersecurity incidents.