Building resilient AI-enabled cybersecurity frameworks
Ben Kereopa-Yorke · 2025
The integration of artificial intelligence (AI) into cybersecurity frameworks represents a paradigmatic shift in our approach to threat intelligence and risk assessment, fundamentally transforming how organisations detect, analyse, and respond to cyber threats. While this integration has revolutionised defensive capabilities, it simultaneously introduces novel vulnerabilities inherent to AI systems themselves, creating a complex interplay between enhanced security potential and emerging risk vectors. This chapter presents a comprehensive analysis of the development and implementation of resilient AI-enabled cybersecurity frameworks, with particular emphasis on their application in real-time threat detection and automated risk assessment processes. Through the introduction of a novel multi-tier architecture that synthesises supervised, unsupervised, and reinforcement learning approaches, this work advances the field’s understanding of how to achieve improved threat detection accuracy while minimising false positives compared to traditional rule-based systems. Central to this analysis is the introduction of the Adaptive Risk Intelligence Quotient, a sophisticated metric designed to quantify the effectiveness of AI-enabled threat intelligence systems in their continuous evaluation of security posture and threat impact. The chapter further explores the transformative potential of Large Language Models in enhancing threat intelligence analysis and policy generation, presenting details that explore the potential applications of the proposed frameworks and architectures in complex cybersecurity contexts. This exploration is grounded in a thorough examination of the ethical and governance considerations crucial for ensuring responsible AI deployment in cybersecurity, including critical aspects of transparency, accountability, and data protection. By integrating cutting-edge research with empirical insights and theoretical frameworks, this chapter provides a comprehensive roadmap for building resilient AI-enabled cybersecurity frameworks that effectively address the evolving threat landscape while maintaining robust ethical principles and governance mechanisms.