Autonomous AI Agents for Campus Knowledge Hubs: A Secure and Intelligent System Architecture
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V6I4P120Keywords:
Autonomous AI Agents, Campus Knowledge Hubs, Intelligent System Architecture, Secure AI Systems, Knowledge Management, Agent-Based Architecture, AI Governance, Higher Education SystemsAbstract
The rapid growth of digital assets in higher education has intensified the need for intelligent, secure, and scalable campus knowledge hubs capable of supporting teaching, research, and administrative decision-making. Autonomous AI agents offer a promising paradigm by enabling proactive, context-aware, and adaptive knowledge services with minimal human intervention. This paper presents a secure and intelligent system architecture for autonomous AI agents designed specifically for campus knowledge hubs in 2025. The proposed architecture integrates layered knowledge management, event-driven orchestration, and specialized autonomous agents for search, reasoning, learning, and compliance. Core functionalities include intelligent knowledge ingestion, semantic enrichment, context-aware retrieval, and continuous learning, all governed by embedded security, privacy, and policy enforcement mechanisms. Trust-aware intelligence is achieved through identity and access management, secure agent communication, audit logging, and regulatory compliance by design. Performance evaluation using representative 2025 benchmarks demonstrates that the system achieves high accuracy, low latency, and efficient user interaction while maintaining minimal security overhead. The results indicate that autonomous AI agents significantly enhance knowledge retrieval efficiency and user experience compared to conventional AI-based systems. Overall, this work demonstrates that secure autonomous agent architectures can serve as a foundational enabler for next-generation campus knowledge hubs, supporting intelligent, transparent, and responsible knowledge management in higher education institutions
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