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. MATE: Policy-Aware Security Auditing for Mobile Agents via Synthesis-Driven Trajectory Learning

    Sep 19, 2026Changyue Jiang, Jiayi Wang, Xin Wen +3AI Agent AuditingAI Agent Security

  2. Trustworthy Agentic AI: Failure Modes, Mitigation Strategies, and a Lifecycle Framework for Autonomous LLM Systems

    Sep 19, 2026Fayeq Jeelani Syed, Rehan Ahmad, Ali Al Bataineh +1LLM Agent SecurityLLM Agents

  3. From Capability to Assurance in Autonomous Penetration-Testing Harnesses: A Framework and Reference Implementation

    Sep 19, 2026Joas Antonio dos Santos BarbosaAutomated Penetration TestingRuntime Enforcement for AI Agents

  4. CIPL: A Channel-Aware Framework for Recoverable Privacy Leakage in LLM Agents

    Sep 18, 2026Tao Huang, Guosen Wu, Guolong Zheng +5Privacy Leakage in Language ModelsLLM Agent Security

  5. PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?

    Sep 16, 2026Mika Okamoto, Ansel Kaplan ErolAI Agent AuditingLLM Agent Evaluation

  6. Who Audits Whom, on What Substrate, with What Evidence? An Independence-Graded Audit Protocol for Agentic AI

    Sep 16, 2026Mohamed Chahine GhanemAI AssuranceAI Agent Auditing

  7. HazardAuditor: From Executable Threats to Safer Computer-Use Agents

    Sep 14, 2026Yunhao Feng, Ruixiao Lin, Ming Wen +5Computer-Use Agent SafetyLanguage Model Safety Evaluation

  8. A Verifier Can Leak the Answer: Diagnosability Before Optimization in Closed-Loop Agent Debugging

    Sep 9, 2026Peiying Zhu, Sidi ChangFault DiagnosisAI Agent Auditing

  9. MOLE: Detecting Insider Threats in AI Agents

    Sep 7, 2026Aashiq Muhamed, Virginia SmithAI Agent SecurityAI Agent Security Benchmarks

  10. Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents

    Sep 7, 2026Jingjie Ning, Shanshan Zhong, Xiaochuan Li +1AI Agents for Scientific DiscoveryAlgorithmic Auditing

  11. Explaining AI Agents Through Execution Traces

    Sep 5, 2026Vittoria Vineis, Fabiano Veglianti, Lorenzo Antonelli +3Explainable Artificial IntelligenceAI Agent Auditing

  12. SkillSpec: Intent-Masked Specification Reasoning for Agent Skill Correctness

    Sep 5, 2026Yizhuo Zhang, Bo Kang, Yi Yang +3AI Agent Auditing

  13. Finding Icebergs in Language-Model Workflow: Diagnosing Latent Structural Fragility with Stochastic Semantic Evidence Graphs

    Sep 3, 2026Matthew F. Dixon, Bertrand Nortier, Miquel Noguer i AlonsoLLM Safety EvaluationAI Agent Auditing

  14. DNative-Twin: Decision Graphs and Digital Twins for Reconstructable Agentic Decisions

    Sep 3, 2026Junjie Pang, Zhenzhen Xie, Haoke Han +3Data ProvenanceAI Agent Auditing

  15. Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agents

    Sep 1, 2026Laurent Bindschaedler, Quentin Botha, Christoph SiebenbrunnerData ProvenanceAlgorithmic Auditing

  16. Auditing Harness Tampering in Self-Improving Agents

    Aug 30, 2026Xing Wang, Xiaoyi Zhang, Jie ShaoAI Agent AuditingSelf-Improving Agents

  17. When Agents Act Unwatched: The Reduced-Supervision Paradox in Agentic AI

    Aug 28, 2026Hanjing Shi, Dominic DiFranzoAI AccountabilityAI Agent Governance

  18. Offline-Verifiable Accountability for Cross-Organization Agent Messaging: A Preserved Evidence-Bundle Approach

    Aug 28, 2026Adil Alshammari, Hayretdin BahsiAI Agent AuditingAI Accountability