This configuration and guidance is based on FastGPT v4.17.0.
What the data for this category looks like
Core data for security training and phishing simulations comes from employee directories, email gateways, training platforms, and click statistics systems. Daily produced documents include training courseware, phishing simulation plans, email templates, and simulation result reports. Data update frequency is mostly quarterly or annual. Fields typically include simulation batch identifiers, employee interaction records, email sending links, and click data. Audit-related logs must cover the full process from outreach to feedback, and correspond one-to-one with business documents.
What constraints these characteristics impose on the conversation logs and auditing workflow
Because data sources are scattered and update frequency is low, conversation logs and auditing must support cross-system log aggregation and long-term retention. The association between simulation batches and employee interactions must be clearly bound, otherwise specific operations cannot be traced during retrospectives. At the same time, the requirement for correspondence between business documents and logs requires that audit logs be linked to documents such as simulation plans and email templates, to enable rapid problem location when audit gaps arise. In addition, error consequences involve employee data leakage and audit compliance risks, so permission control and integrity verification for logs have become necessary constraints.
How to Configure Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Session Association ID Settings | Bind chatId as the unique identifier for simulation batches | Used to bind audit logs to corresponding phishing simulation batches, enabling precise tracing |
| Full Log Recording | Enable detail mode | Capture complete details of employee interactions to meet audit and retrospective requirements |
| Response Link Binding | Associate responseChatItemId with email template IDs | Match click links from phishing emails, locate abnormal operations and non-clicking groups |
| Log Retention Period | 90-180 days | Aligns with the quarterly/annual update frequency of simulation data, balancing storage costs and audit requirements |
| Abnormal Alert Threshold | Calibrate based on actual testing | Trigger alerts for simulation batches with no valid interactions, to identify outreach abnormalities early |
Three Common Configuration Mistakes
- Symptom: Incomplete audit log fragments are displayed on the frontend, with full content only appearing after a refresh. Cause:
detailmode is not enabled, only partial interaction fragments are recorded, and complete link data is not cached. - Symptom: Unable to filter audit logs by phishing email template dimension. Cause: No association is established between
responseChatItemIdand email template IDs, which prevents template-based log aggregation. - Symptom: Token consumption data for employee interactions is not counted in audit logs. Cause: Full log recording is not configured, so details of token usage during interactions are not captured, failing to meet statistical requirements.
How to Confirm the Configuration Is Complete
- View the audit log details for a single simulation batch, confirm that complete employee interaction links and click data are included.
- Attempt to filter logs by simulation template ID, confirm that all interaction records for the corresponding batch can be matched.
- Check that the system log retention duration falls within the preset 90-180 day range.
- Trigger a test phishing simulation, confirm that corresponding audit log entries are generated.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.