Adversarial Simulation and Resilience Engineering for Enterprise AI Systems

Abstract

As enterprises increasingly embed artificial intelligence into critical business operations, the attack surface of modern systems has expanded far beyond traditional boundaries. This article presents a comprehensive framework for adversarial simulation and resilience engineering designed to evaluate and enhance the security of AI-driven enterprise environments. The proposed approach integrates offensive and defensive methodologies to systematically identify, exploit, and mitigate vulnerabilities across the complete AI lifecycle, spanning data ingestion, model training, deployment, and inference operations. By combining automated adversarial testing with continuous feedback loops, the framework enables dynamic threat discovery and proactive hardening against model evasion, data poisoning, and prompt-based manipulation attacks. The modular architecture supports hybrid cloud and on-premises infrastructures, allowing seamless adaptation to diverse enterprise contexts while addressing the technical complexity and hidden dependencies inherent in production machine learning systems. A structured resilience maturity model quantifies organizational readiness and measures progress toward adaptive AI security postures, incorporating technical controls, process maturity, governance structures, and cultural factors that collectively determine security capability. The framework emphasizes operational integration with existing enterprise security infrastructure, ensuring that AI red teaming enhances rather than disrupts established security operations while maintaining unified visibility across conventional and AI-specific threat landscapes. This article positions adversarial simulation and resilience engineering as foundational capabilities for next-generation enterprise security, bridging the gap between offensive testing, risk governance, and sustainable AI operations to enable organizations to deploy and maintain secure, trustworthy, and continuously validated AI systems at enterprise scale.