Best Practices for Incident Response Changes with NIST CSF 2.0

Incident response (IR) is a critical function in cybersecurity aimed at minimizing damage and enabling quick recovery following cyberattacks. This paper examines best practices for incident response through the lens of the NIST (National Institute of Standards and Technology) Cybersecurity Framework (CSF) 2.0, which introduces six functions: Govern, Identify, Protect, Detect, Respond, and Recover. The study explores how organizations can optimize their incident response strategies by addressing challenges such as resource limitations, skill gaps, and coordination complexities while integrating emerging technologies like automation, AI, and Managed Detection and Response (MDR). Through case studies of successful and inadequate incident response practices, the paper highlights practical insights for improving preparedness and execution. The study concludes by proposing future research directions to address gaps in automation and quantum-safe cybersecurity measures, ensuring resilience in the face of evolving threats.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/icccbda64898.2025.11030516
Primary Topic
Engineering and Material Science Research
Type
article
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article

Best Practices for Incident Response Changes with NIST CSF 2.0

Engineering and Material Science Research
article

Best Practices for Incident Response Changes with NIST CSF 2.0

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Abstract

Incident response (IR) is a critical function in cybersecurity aimed at minimizing damage and enabling quick recovery following cyberattacks. This paper examines best practices for incident response through the lens of the NIST (National Institute of Standards and Technology) Cybersecurity Framework (CSF) 2.0, which introduces six functions: Govern, Identify, Protect, Detect, Respond, and Recover. The study explores how organizations can optimize their incident response strategies by addressing challenges such as resource limitations, skill gaps, and coordination complexities while integrating emerging technologies like automation, AI, and Managed Detection and Response (MDR). Through case studies of successful and inadequate incident response practices, the paper highlights practical insights for improving preparedness and execution. The study concludes by proposing future research directions to address gaps in automation and quantum-safe cybersecurity measures, ensuring resilience in the face of evolving threats.

Algebra Bernays University (HR)
Openalex Percentile: Top 77%
Engineering and Material Science Research
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Best Practices for Incident Response Changes with NIST CSF 2.0 · (2025) | TGRS Research Map | TGRS