Automated Crisis Negotiation in Ransomware Incidents: A Framework for AI-Mediated Response to Digital Hostage Situations

Booker, Mario De Sean (2025) Automated Crisis Negotiation in Ransomware Incidents: A Framework for AI-Mediated Response to Digital Hostage Situations. World Journal of Advanced Research and Reviews, 27 (2). pp. 471-500. ISSN 2581-9615

The rapid proliferation of ransomware attacks has created severe capacity constraints for crisis negotiation specialists, particularly as attacks on critical infrastructure systems expose the limitations of current response capabilities. Organizations face an increasingly untenable situation: multiple simultaneous incidents requiring specialized negotiation expertise that remains in critically short supply. This study examines whether artificial intelligence can augment human negotiation capacity while maintaining the nuanced judgment essential in high-stakes digital extortion scenarios. Through comparative case analysis of four major ransomware incidents occurring between 2021 and 2024, supplemented by expert interviews with seasoned crisis negotiators and discrete event simulation modeling, we assessed the viability of AI-supported negotiation frameworks. Our analysis reveals that automated systems demonstrate considerable promise for managing initial victim communications and intelligence synthesis, potentially enabling human negotiators to focus resources on the most complex strategic decisions. However, critical vulnerabilities emerge in scenarios involving healthcare systems or national infrastructure, where negotiation failures carry life-threatening consequences. The evidence supports a hybrid approach that leverages AI capabilities for routine tasks while preserving human authority over all strategic and ethical determinations. We present an interdisciplinary framework synthesizing crisis psychology principles, cybersecurity incident response protocols, and AI ethics considerations, all anchored in empirical data from actual ransomware events rather than theoretical scenarios. This research contributes practical implementation guidelines for AI deployment in adversarial negotiation contexts, addressing significant gaps in existing literature. Our policy recommendations emphasize establishing clear oversight mechanisms, ethical boundaries, and international coordination frameworks to ensure responsible AI integration in crisis response operations, providing actionable guidance for cybersecurity practitioners and institutional decision-makers.