Agentic ai-driven enterprise architecture: a foundational framework for scalable, secure, and resilient systems
DOI:
https://doi.org/10.22399/ijcesen.4210Keywords:
Agentic AI, Generative AI, Enterprise Architecture, Agent-to-Agent (A2A) Communication, Agent Communication Protocol (ACP), Performance OptimizationAbstract
Agentic AI introduces a new paradigm in enterprise architecture by enabling autonomous, communicative, and goal-driven agents that operate across distributed systems. Building upon generative AI, agentic frameworks deliver scalable, self-orchestrating architectures capable of optimizing performance, fortifying cybersecurity, and enhancing operational resilience. This paper presents a foundational architecture that integrates Agentic AI principles into enterprise systems, offering a unified approach to intelligent orchestration, security, and adaptability. This paper explores the convergence of agentic and generative AI through recent frameworks, emphasizing Agent-to-Agent (A2A) communication protocols, intent-based coordination via the Agent Communication Protocol (ACP), and integration with LLM-powered reasoning engines. Agentic architectures automate complex workflows, detect and respond to cyber threats, and simulate failure scenarios through decentralized, intelligent agents. The proposed framework incorporates event-driven communication, vectorized memory, and optional blockchain-backed verification to support trust, transparency, and traceability across agents. The result is a composable, adaptive infrastructure that redefines how enterprise systems achieve agility, security, and continuity. When implemented with robust governance and AI oversight, Agentic AI powered by A2A emerges as a transformative force for high-performance, resilient enterprise design.
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