Overview

AI agent auditing studies whether autonomous systems follow their instructions and policies as they use tools, exchange information, and change external state. Researchers combine trace analysis, runtime monitoring and authorization, static and dynamic security testing, adversarial benchmarks, and tamper-evident logs to detect violations and reconstruct how they occurred. A central lesson is that correct final answers or benchmark scores do not establish safe or faithful execution; audits increasingly examine intermediate decisions, permissions, evidence provenance, and effects on the environment. The field still faces challenges in obtaining complete, independent records and reliable evaluators, while balancing stronger oversight with task utility, cost, and agent autonomy.

Latest papers

CardsList

269 papers79 papers in the last four weeks, up 39% on the four weeks before. 0.5% of all new papers.

  1. The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence

    Mar 25, 2026Biplab Pal, Santanu BhattacharyaAI Agent ReliabilityAI Agent Auditing

  2. MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows

    Mar 25, 2026Weixiang Shen, Chengzhi Shen, Yanzhu Hu +12Medical VLMsMedical Image Benchmarks

  3. Willful Disobedience: Automatically Detecting Failures in Agentic Traces

    Mar 25, 2026Reshabh K Sharma, Shraddha Barke, Benjamin ZornAI Agent EvaluationAI Agent Auditing

  4. Agent Audit: A Security Analysis System for LLM Agent Applications

    Mar 24, 2026Haiyue Zhang, Yi Nian, Yue ZhaoAI Agent AuditingLLM Agent Security

  5. When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Auditing

    Mar 18, 2026Yi Nian, Haosen Cao, Shenzhe Zhu +4Data Provenance in Language ModelsAI Agent Auditing

  6. Ablation Study of a Fairness Auditing Agentic System for Bias Mitigation in Early-Onset Colorectal Cancer Detection

    Mar 17, 2026Amalia Ionescu, Jose Guadalupe Hernandez, Jui-Hsuan Chang +4Algorithmic FairnessAI Agent Auditing

  7. Compatibility at a Cost: Systematic Discovery and Exploitation of MCP Clause-Compliance Vulnerabilities

    Mar 10, 2026Nanzi Yang, Weiheng Bai, Kangjie LuMCP SecurityAI Agent Security

  8. Arbiter: Detecting Interference in LLM Agent System Prompts

    Mar 9, 2026Tony MasonAI Agent AuditingAI Coding Agents

  9. Give Them an Inch and They Will Take a Mile:Understanding and Measuring Caller Identity Confusion in MCP-Based AI Systems

    Mar 8, 2026Yuhang Huang, Boyang Ma, Biwei Yan +5MCP SecurityAI Agent Security

  10. Auditing Cascading Risks in Multi-Agent Systems via Semantic-Geometric Co-evolution

    Mar 4, 2026Zixun Luo, Yuhang Fan, Hengyu Lin +2Ollivier-Ricci CurvatureMulti-Agent LLM Systems

  11. DUCX: Decomposing Unfairness in Tool-Using Chest X-ray Agents

    Feb 28, 2026Zikang Xu, Ruinan Jin, Xiaoxiao LiAlgorithmic FairnessAlgorithmic Bias

  12. A Framework for Assessing AI Agent Decisions and Outcomes in AutoML Pipelines

    Feb 25, 2026Gaoyuan Du, Amit Ahlawat, Xiaoyang Liu +1AI Agent EvaluationAI Agent Auditing

  13. OpenPort Protocol: A Security Governance Specification for AI Agent Tool Access

    Feb 22, 2026Genliang Zhu, Chu Wang, Ziyuan Wang +2Tool Access Control for LLM AgentsAI Agent Governance

  14. The Convergence of Schema-Guided Dialogue Systems and the Model Context Protocol

    Feb 21, 2026Andreas SchlapbachLLM Tool UseModel Context Protocol

  15. The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems

    Feb 19, 2026Leon Staufer, Kevin Feng, Kevin Wei +6AI Agent AuditingAI Agent Safety

  16. Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems

    Feb 16, 2026Mason Nakamura, Abhinav Kumar, Saswat Das +5Multi-Agent LLM SystemsMulti-Agent Systems

  17. Towards Selection as Power: Bounding Decision Authority in Autonomous Agents

    Feb 16, 2026Jose Manuel de la Chica Rodriguez, Juan Manuel Vera DíazAI Agent GovernanceRuntime Enforcement for AI Agents

  18. PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support

    Jan 19, 2026Jiwon Kim, Violeta J. Rodriguez, Dong Whi Yoo +2Mental Health Conversational AgentsAI Agent Auditing