Designing Intelligent Enterprise Architectures Integrating Generative AI with Cyber Defense and Data Driven Decision Frameworks

Abstract

Enterprises are increasingly dependent on digital platforms to support strategic decision-making, operational efficiency, and competitive advantage. At the same time, escalating cyber threats and the growing complexity of data ecosystems challenge the effectiveness of traditional enterprise architectures. This paper proposes an intelligent enterprise architecture that integrates generative artificial intelligence with cyber defense mechanisms and data driven decision frameworks. The proposed architecture unifies advanced analytics, generative AI reasoning capabilities, and security-aware data pipelines to enable proactive, adaptive, and resilient decision intelligence. Generative AI is leveraged not only for predictive insights but also for scenario simulation, automated reasoning, and contextual explanation, while cyber defense components ensure continuous monitoring, threat detection, and risk mitigation. The framework embeds governance, transparency, and human oversight to support trustworthy and compliant AI adoption. By aligning decision intelligence with cybersecurity and architectural governance, the proposed approach enables enterprises to transition from reactive defense and fragmented analytics toward intelligent, integrated, and resilient enterprise systems. This research contributes a conceptual and methodological foundation for next-generation enterprise architectures capable of supporting secure, data driven, and AI-augmented decision-making across complex digital environments.