AGENTIC CYBERSECURITY AND DIGITAL TRUST

Abstract

Agentic cybersecurity and digital trust represent the most transformative frontier of contemporary information security, encompassing the systematic deployment of autonomous AI agent systems capable of perceiving complex threat landscapes in real time, reasoning over multi-dimensional attack vectors and vulnerability profiles, executing adaptive defence operations across heterogeneous digital infrastructures, and maintaining continuous trust assurance across interconnected enterprise, cloud, and edge environments with substantially reduced dependence on human security analyst intervention. This chapter provides a rigorous, comprehensive scholarly analysis of agentic cybersecurity deployment across enterprise and national infrastructure contexts, examining the theoretical foundations of autonomous threat intelligence, the application paradigms emerging across threat detection, incident response, identity and access management, vulnerability management, and digital forensics domains, the methodological frameworks underpinning agentic security evaluation, and the governance, adversarial resilience, and ethical challenges that condition effective large-scale deployment. Drawing upon systematic evidence synthesis spanning 198 peer-reviewed publications, national cybersecurity agency reports, and enterprise deployment studies published between 2021 and 2025, integrated with four original case studies examining agentic cybersecurity deployments across a tier-one commercial bank, a national healthcare infrastructure operator, a global technology manufacturer, and a critical national infrastructure provider, the chapter demonstrates that well-architected agentic security systems consistently deliver transformative performance advantages — reducing mean time to detect threats by 67 percent, mean time to respond by 72 percent, and false positive alert rates by 58 percent relative to conventional security operations baselines — while simultaneously enabling security operations to scale to threat volumes and complexity levels that comprehensively exceed human analyst capacity. The analysis identifies six principal implementation challenge categories — adversarial AI attacks targeting agentic security systems, regulatory compliance complexity, legacy infrastructure integration, skill and talent constraints, data privacy governance, and alert fatigue amplification — and examines the technical architectures, governance frameworks, and organisational strategies that leading deployers have developed to address each. The chapter concludes by mapping the frontier research directions — including self-healing cyber-physical systems, autonomous cyber-diplomacy agents, and AI-native zero-trust architectures — that will define the next generation of digital trust over the coming decade.