Human-AI Collaboration in Security Operations Centers (SOC 2.0): Opportunities, Challenges, and Pathways Forward
Keywords:
Human–AI Collaboration; Security Operations Center (SOC 2.0); Explainable Artificial Intelligence (XAI); Threat Detection and Response; Sociotechnical Systems; Trust and Automation in Cybersecurity; Adversarial AI ResilienceAbstract
This paper explores human–AI collaboration in next-generation Security Operations Centers (SOC 2.0), integrating AI for threat detection, automation, and decision support. Through a thematic synthesis of over 60 peer-reviewed studies (2020–2024), it identifies key enablers explainable AI, adaptive automation, and sociotechnical alignment and barriers such as adversarial AI risks, trust calibration, and organizational readiness gaps. Findings reveal that effective SOC 2.0 implementation can reduce alert fatigue by up to 45% and incident triage time by 60% in experimental settings. The study proposes a human-centered framework and research roadmap to guide future SOC design emphasizing transparency, resilience, and human cognitive augmentation.
