Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective
On the map: LLM agents and tool use → Agentic AI for wireless networks
Abstract (arXiv)
Intellicise (Intelligent and Concise) wireless network is the main direction of the evolution of future mobile communication systems, a perspective now widely acknowledged across academia and industry. As a key technology within it, Agentic AI has garnered growing attention due to its advanced cognitive capabilities, enabled through continuous perception-memory-reasoning-action cycles. This paper first analyses the unique advantages that Agentic AI introduces to intellicise wireless networks. We then propose a structured taxonomy for Agentic AI-enhanced secure intellicise wireless networks. Building on this framework, we identify emerging security and privacy challenges introduced by Agentic AI and summarize targeted strategies to address these vulnerabilities. A case study further demonstrates Agentic AI's efficacy in defending against intelligent eavesdropping attacks. Finally, we outline key open research directions to guide future exploration in this field.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use. Builds on 12 of its 15 references that are in the map. First posted on arXiv 17 Feb 2026.
Builds on
12 of 15 references.
References · 12
- 2025Design Patterns for Securing LLM Agents against Prompt Injectionscited by 67
- 2025TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systemscited by 58
- 2025Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agentscited by 32
- 2025Agentic AI Security: Threats, Defenses, Evaluation, and Open Challengescited by 26
- 2025Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directionscited by 22
- 2025A Survey on Agentic Security: Applications, Threats and Defensescited by 17
- 2024DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Modelscited by 15
- 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
- 2025Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Surveycited by 8
- 2025LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approachcited by 5
- 2025Image Steganography For Securing Intellicise Wireless Networks: "Invisible Encryption" Against Eavesdropperscited by 3
- 2025Semantic Radio Access Networks: Architecture, State-of-the-Art, and Future Directionscited by 2
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- 2026The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithms
- 2026WirelessAgent++: Automated Agentic Workflow Design and Benchmarking for Wireless Networks
- 2025Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm
- 2026Rethinking Agent Security as a Networking Problem
- 2025Agentic AI for Mobile Network RAN Management and Optimization
- 2026LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization