AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents

• URL: http://arxiv.org/abs/2511.07441v1
• Date: Wed, 12 Nov 2025 01:00:34 GMT
• Title: AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents
• Authors: Ye Zheng, Yidan Hu,
• Abstract summary: AudAgent is a visual framework that monitors AI agents' data practices in real time.<n>AudAgent effectively identifies potential privacy policy violations in real time.
• Score: 3.802907024025868
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: AI agents can autonomously perform tasks and, often without explicit user consent, collect or disclose users' sensitive local data, which raises serious privacy concerns. Although AI agents' privacy policies may describe their intended data practices, there remains limited transparency and accountability about whether runtime behavior matches those policies. To close this gap, we introduce AudAgent, a visual framework that continuously monitors AI agents' data practices in real time and guards compliance with stated privacy policies. AudAgent consists of four components for automated privacy auditing of AI agents. (i) Policy parsing: an ensemble of LLMs translates natural-language privacy policies into a structured privacy-policy model, where cross-LLM voting guarantees confidence of the parsing results. (ii) Runtime annotation: a lightweight Presidio-based analyzer detects sensitive data and annotates how the data is used based on the context of the AI agent's operations and the privacy-policy model. (iii) Compliance auditing: ontology alignment and automata-based evaluation connect the policy model with runtime annotations, enabling on-the-fly compliance checks between the natural-language policy and observed unordered data practices of AI agents. (iv) User interface: a platform-independent implementation visualizes the real-time execution trace of AI agents along with potential privacy risks detected during auditing, providing user-friendly transparency and accountability. In addition to common formatted privacy policies, AudAgent also supports user-defined policies for fine-grained control and customization. We evaluate AudAgent on AI agents built upon mainstream programming frameworks such as AutoGen, experiments show that AudAgent effectively identifies potential privacy policy violations in real time.

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