mlsanityData to 14 Oct 2026

Agentic AI for autonomous anomaly management in complex systems

arXiv 2507.15676 ↗First posted 21 Jul 2025cs.AI cs.ETcited by 4

On the map: LLM agents and tool use → Agent threats, guardrails and governance

Abstract (arXiv)

This paper explores the potential of agentic AI in autonomously detecting and responding to anomalies within complex systems, emphasizing its ability to transform traditional, human-dependent anomaly management methods.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 37 of its 78 references that are in the map. First posted on arXiv 21 Jul 2025.

Builds on

37 of 78 references.

References · 37

  1. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
  2. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,242
  3. 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Facecited by 1,190
  4. 2023Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Modelscited by 574
  5. 2020A Unifying Review of Deep and Shallow Anomaly Detectioncited by 425
  6. 2024Large Language Models for Mathematical Reasoning: Progresses and Challengescited by 284
  7. 2024Agent-as-a-Judge: Evaluate Agents with Agentscited by 238
  8. 2024AI Agents That Mattercited by 219
  9. 2023A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trendscited by 207
  10. 2023OpenAGI: When LLM Meets Domain Expertscited by 197
  11. 2024Agent S: An Open Agentic Framework that Uses Computers Like a Humancited by 187
  12. 2023Hypothesis Search: Inductive Reasoning with Language Modelscited by 120
25 more
  1. 2023GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Informationcited by 117
  2. 2023Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPTcited by 80
  3. 2024Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categoriescited by 77
  4. 2024LLM With Tools: A Surveycited by 61
  5. 2022Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognitioncited by 56
  6. 2024Determinants of LLM-assisted Decision-Makingcited by 56
  7. 2022A Survey on Explainable Anomaly Detectioncited by 39
  8. 2024LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extractioncited by 39
  9. 2023Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approachcited by 28
  10. 2023HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)cited by 25
  11. 2024KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networkscited by 23
  12. 2025LLM-Powered AI Agent Systems and Their Applications in Industrycited by 22
  13. 2020Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Reviewcited by 19
  14. 2024LogiCode: an LLM-Driven Framework for Logical Anomaly Detectioncited by 19
  15. 2024A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loopscited by 13
  16. 2024On Limitations of LLM as Annotator for Low Resource Languagescited by 12
  17. 2025Can Multimodal LLMs Perform Time Series Anomaly Detection?cited by 12
  18. 2024Improve Temporal Awareness of LLMs for Sequential Recommendationcited by 8
  19. 2020Deep Unsupervised Image Anomaly Detection: An Information Theoretic Frameworkcited by 6
  20. 2023Optimizing National Security Strategies through LLM-Driven Artificial Intelligence Integrationcited by 6
  21. 2025Single-Agent vs. Multi-Agent LLM Strategies for Automated Student Reflection Assessmentcited by 6
  22. 2024LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Maskingcited by 5
  23. 2023ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GANcited by 4
  24. 2019Parametric versus Semi and Nonparametric Regression Modelscited by 2
  25. 2023From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Managementcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 3.

4 papers.

  1. 2026A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-case Prototypescited by 22
  2. 2025The Evolution of Agentic AI in Cybersecurity: From Single LLM Reasoners to Multi-Agent Systems and Autonomous Pipelinescited by 2
  3. 2026Integrating Anomaly Detection into Agentic AI for Proactive Risk Management in Human Activitycited by 0
  4. 2026Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controlscited by 0

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  2. 2025Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges
  3. 2026Skynet: Workflow-Level Anomaly Detection for Agentic AI via Semantic and Structural Modeling
  4. 2026Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection
  5. 2025Agentic AI for Cyber Resilience: A New Security Paradigm and Its System-Theoretic Foundations
  6. 2025AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
  7. 2025NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
  8. 2026AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning