A new research paper details how cybersecurity organizations are adapting to the integration of generative AI. The study, which analyzed 25 studies from 2022 to 2025, identifies three primary patterns of adaptation: integrating LLMs for security applications, using GenAI for risk detection and response automation, and employing AI/ML for threat hunting. Organizations with mature infrastructures, particularly in finance and critical infrastructure sectors, are leading these adaptations due to regulatory pressures and existing governance structures. However, challenges related to privacy, bias, personnel training, and adversarial defense persist. AI
IMPACT Organizations are developing new frameworks and hybrid processes to integrate generative AI for enhanced security operations and threat detection.
RANK_REASON The cluster contains an academic paper detailing research findings on organizational adaptation to generative AI in cybersecurity. [lever_c_demoted from research: ic=1 ai=1.0]
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