Generative artificial intelligence (GenAI) is reshaping cybersecurity operations faster than most organizations can adapt their frameworks, governance structures, and operational processes. This paper presents a structured analytical account of how cybersecurity organizations are adapting to GenAI, distinguishing adaptation from mere tool adoption and identifying four progression stages: exploratory deployment, functional integration, operational embedding, and strategic alignment. Drawing on evidence from 25 empirical and framework-oriented studies published between 2022 and 2025, the analysis finds that adaptation is fundamentally uneven. Most organizations remain in early or intermediate stages, constrained by governance immaturity, limited human capital, and unresolved trust requirements. Financial sector organizations and central banks lead strategic alignment, driven by regulatory pressure and elevated risk profiles. The offensive-defensive capability asymmetry compounds these constraints, accelerating threat sophistication faster than defensive adaptation can respond. The paper concludes with implications for security operations centers, cyber threat intelligence functions, and risk management practice.
Christopher Nott (Fri,) studied this question.
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