Agentic AI Driven Enterprise Architecture for Secure Autonomous Decision Making and Continuous Compliance
DOI:
https://doi.org/10.15662/IJEETR.2026.0801023Keywords:
Agentic AI, Enterprise Architecture, Autonomous Decision Making, Continuous Compliance, Artificial Intelligence, Cybersecurity, Governance, Zero Trust Security, Explainable AI, Digital Transformation, Intelligent Agents, Risk Management, Regulatory Compliance, Enterprise Governance, Secure AI SystemsAbstract
The rapid advancement of artificial intelligence has transformed enterprise operations by enabling autonomous systems capable of making intelligent decisions with minimal human intervention. Agentic Artificial Intelligence (Agentic AI) represents a significant evolution beyond traditional AI by integrating autonomous reasoning, adaptive learning, goal-oriented planning, and continuous execution within enterprise environments. As organizations increasingly adopt digital transformation strategies, the integration of Agentic AI into Enterprise Architecture (EA) has emerged as a critical approach for improving operational efficiency, strengthening cybersecurity, enhancing governance, and ensuring continuous regulatory compliance. However, autonomous decision-making introduces challenges related to transparency, accountability, trust, data privacy, and regulatory adherence. This study explores the role of Agentic AI-driven Enterprise Architecture in facilitating secure autonomous decision-making while maintaining continuous compliance across complex organizational ecosystems. The research examines architectural frameworks, governance mechanisms, cybersecurity principles, compliance automation, and AI-driven risk management strategies that support resilient enterprise operations. A qualitative research methodology based on extensive literature analysis, industry frameworks, and comparative evaluation is employed to identify best practices and implementation challenges. The findings indicate that integrating intelligent autonomous agents with zero-trust security, explainable AI, continuous monitoring, policy automation, and governance frameworks significantly enhances enterprise resilience, operational agility, and regulatory compliance. The study concludes that Agentic AI-driven Enterprise Architecture provides a sustainable foundation for future intelligent enterprises operating in highly dynamic and regulated digital environments
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