Safeguarding Business in the Age of AI for Organizational Resilience and Risk Management

Abstract

As AI proliferates across sectors, it creates new cybersecurity risks from growing attack surfaces, data flows, and system complexity. This chapter outlines risk management frameworks to harness AI safely despite escalating threats. It establishes why traditional controls now fall short, necessitating updated cyber strategies centered on ethical “Secure AI by Design” governance. First, prominent threats like malware and denial-of-service attacks are analyzed. Technical safeguards such as authentication, encryption, and blockchain applications are suggested alongside auditing, transparency, and proactive risk monitoring to manage threats. Real-world critical infrastructure attack cases reveal current susceptibilities. esilience demands optimization coupled with defense-in-depth approaches across people, processes and system that gives advisory on adapting cybersecurity and a guide to securing AI innovation potential, aligning with the book's focus on OpenAI outlines steps around pipelines, red teams, and internal/external trust via auditing and transparency for cyber risk management