{"slug": "agentic-network-traffic-monitoring", "title": "Agentic Network Traffic Monitoring", "summary": "A paper submitted to arXiv on 26 Sep 2026 presents a method for auditing agentic AI systems by monitoring their network traffic using complex-valued hypersparse traffic matrices, built by integrating DBOS (DataBase OS), the OneSparse PostgreSQL database, and the GraphBLAS math library. The authors constructed an agentic simulator in which a varying number of AI agents collectively survey a virtual environment using different strategies, and report that the resulting traffic matrices make monitoring the agents straightforward. The work targets the widening attack surface created by growing agentic AI use, arguing that traffic auditing gives a clear record of agent interactions and helps verify agents act in line with user intent.", "body_md": "# Computer Science > Artificial Intelligence\n\n  [Submitted on 26 Sep 2026]\n\n# Title:Agentic Network Traffic Monitoring\n\n[View PDF](https://arxiv.org/pdf/2609.32778)\n\n[HTML (experimental)](https://arxiv.org/html/2609.32778v1)\n\nAbstract: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.\n    \n\n### Additional Features\n\n### Current browse context:\n\ncs.AI\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer \n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers \n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps \n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations \n\n*(*[What are Smart Citations?](https://www.scite.ai/))\n# Code, Data and Media Associated with this Article\n\nalphaXiv \n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers \n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub \n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub \n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face \n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast \n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))\n# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower \n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender \n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))\n# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [**Learn more about arXivLabs**](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/agentic-network-traffic-monitoring", "canonical_source": "https://arxiv.org/abs/2609.32778", "published_at": "2026-11-05 03:34:20+00:00", "updated_at": "2026-11-05 03:50:24.416631+00:00", "lang": "en", "topics": ["ai-agents", "ai-safety", "artificial-intelligence", "ai-research"], "entities": ["arXiv", "DBOS", "OneSparse", "PostgreSQL", "GraphBLAS"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/agentic-network-traffic-monitoring", "markdown": "https://wpnews.pro/news/agentic-network-traffic-monitoring.md", "text": "https://wpnews.pro/news/agentic-network-traffic-monitoring.txt", "jsonld": "https://wpnews.pro/news/agentic-network-traffic-monitoring.jsonld"}}