Augmented Reality in Cybersecurity: Enhancing Threat Intelligence and Protecting Critical Infrastructure

Abstract

As augmented reality (AR) technologies gain widespread adoption in critical infrastructure, their cybersecurity risks require thorough assessment. AR systems process and overlay real-time data, creating vulnerabilities such as adversarial AI manipulations, social engineering attacks, and data integrity threats. This chapter examines AR cybersecurity challenges and proposes advanced defense mechanisms. AI-driven anomaly detection enhances threat identification, blockchain ensures data integrity, and quantum-resistant cryptography safeguards against future quantum threats. Additionally, global collaboration among governments, industries, and academia is crucial for establishing standardized security protocols. A multi-layered cybersecurity framework strengthens AR resilience in sensitive domains. Future research must refine AI-driven threat intelligence, integrate post-quantum encryption, and develop interoperable security frameworks. Continuous innovation and collaboration are essential to securing AR ecosystems.