Enterprise Technology Risk Management Framework: An Integrated Approach to Cloud-Native Security, AI Governance, and Compliance Automation

Abstract

Modern financial services organizations face unprecedented challenges in managing technology risk across cloud-native architectures, artificial intelligence systems, and complex regulatory landscapes. This paper presents a comprehensive technology risk management framework that integrates Infrastructure as Code (IaC), DevSecOps practices, continuous exposure management, and AI governance mechanisms. We examine the technology stack requirements for Business Information Security Officers (BISO) and technology risk specialists, analyzing the convergence of security automation, compliance orchestration, and risk-aware AI oversight. Our framework addresses multi-account cloud environments, microservices architectures, and third-party vendor ecosystems while maintaining regulatory compliance across SOX, GDPR, and NYDFS frameworks. Results demonstrate that integrated GRC platforms combined with automated security controls reduce risk exception resolution time by 64% and improve compliance audit efficiency by 73%. This research provides actionable insights for enterprise security architects and risk management professionals implementing modern technology risk frameworks.