LLM との対話を監査する

AI Trust Layer audit for Communications Mining generative AI features: which LLM inputs and outputs are recorded for each feature, and how to review them for compliance.

The Communications Mining capability sends the Large Language Model (LLM) requests for its generative AI features through the UiPath AI Trust Layer™, which records each operation in an audit log. The audit log gives administrators visibility into the data sent to LLMs and the responses they returned, supporting compliance, governance, and data transparency requirements.

監査エントリの表示

Each operation appears in the Audit tab of the AI Trust Layer page, under the IXP product name, including the inputs sent to the LLM and the outputs it returned.

エントリは 60 日間表示され、エクスポートしてより長い保持期間を取得できます。監査ビュー、エクスポート、保持について詳しくは、「 監査ログを表示する」をご覧ください。

Audited features

The following generative AI features are recorded in the audit log, each with the input and output listed:

機能	Audited input	Audited output
生成 AI による抽出	The extraction request, identified by the message ID	The raw LLM response, containing the predictions returned for the message
生成 AI によるアノテーション	A sample of messages from the sources in the dataset	The labels returned for the sampled messages
Suggested labels from clusters	The list of message IDs in the cluster	The labels suggested for the cluster, with the reasoning behind them
Zero-shot taxonomy generation (Preview)	The list of labels suggested from clusters	The generated taxonomy schema
Conversational filters (Preview)	The user prompt	The generated filter schema

監査対象データを制御する

Automation Ops policies for the AI Trust Layer control how audit data is handled: you can turn off the saving of inputs and outputs, or mask personally identifiable information (PII) before requests reach the LLM. For details, refer to Settings for AI Trust Layer policies.