Agentic Network Traffic Monitoring
New in LLM agents and tool use; no direction yet. LLM agents and tool use
Abstract (arXiv)
As the use of agentic artificial intelligence increases in nearly every industry, there exists a widening attack surface. It is necessary to monitor agents to ensure that agents are acting in a way that is aligned with the users intent. Auditing an agent's network traffic provides a clear record of the agent interactions. This work presents a novel approach to monitoring the network traffic of agentic systems using complex valued hypersparse traffic matrices by integrating DBOS (DataBase OS), the OneSparse PostgreSQL database, and the GraphBLAS math library. To develop these concepts an agentic simulator was constructed, allowing a varying numbers of AI agents to collectively survey a virtual environment using different strategies. The resulting network traffic matrices enable easy monitoring of the AI agents.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 18 references that are in the map. First posted on arXiv 26 Sep 2026.
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7 of 18 references.
References · 7
- 2024AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathwayscited by 127
- 2025A Survey on Autonomy-Induced Security Risks in Large Model-Based Agentscited by 29
- 2019Hypersparse Neural Network Analysis of Large-Scale Internet Trafficcited by 1
- 2022GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Trafficcited by 1
- 2022Hypersparse Network Flow Analysis of Packets with GraphBLAScited by 1
- 2023Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrayscited by 1
- 2025DBOS Network Sensing: A Web Services Approach to Collaborative Awarenesscited by 1
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- 2025NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
- 2026ANT: A Multi-Granularity Network Traffic Dataset and Benchmark for Agents Behavior Auditing
- 2026AgentSpy: Making AI Agent Behavior Observable
- 2025Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems
- 2026MonitoringBench: Semi-Automated Red-Teaming for Agent Monitoring
- 2026Cross-Layer Semantic Flow Reconstruction for Attack Detection in Agentic Systems
- 2026Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations
- 2025Temporal Attack Pattern Detection in Multi-Agent AI Workflows: An Open Framework for Training Trace-Based Security Models