What this category of data looks like
Data for this category originates from SIEM, EDR, firewall logs, and host images. Updates occur in real time or are triggered per individual incident. Regularly produced documents include incident response reports, forensics records, disposal plans, and notification materials. Fields cover event ID, attack path, disposal time, evidence hash value, and other related items. There are no unified fixed units; values dynamically match log fields and forensics content. This data is jointly maintained by security operation centers, incident response engineers, and customer security principals, and is used for incident tracing and compliance archiving. This document is written based on FastGPT v4.17.0.
Constraints on HTTP Interfaces and External Systems Posed by These Data Characteristics
This category of data is multi-source, heterogeneous, and has flexible update rhythms. HTTP interfaces must be compatible with request formats of multiple types of logs such as SIEM and EDR, and support custom field mapping to adapt to output structures of different devices. Real-time or per-incident triggered updates require interfaces to support on-demand pulling or callback pushing, to avoid resource occupation from invalid polling. For compliance archiving requirements, interfaces must complete identity verification via the Authorization parameter to ensure data security during transmission. Evidence data has large fluctuations in volume, so interfaces must support chunked transfer and resumable uploads, to prevent evidence loss caused by single transmission timeout or failure.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Use Bearer Token format, set validity period to 3600 seconds | Adapts to high compliance requirements of security incident response, avoids risks of long-term token leakage |
variables | Configure event ID and log source type as global variables | Uniformly maps common fields of multi-source logs, reduces interface adaptation costs |
responseData | Return structured JSON format containing incident tracing fields and evidence hash | Adapts to archiving requirements of incident response reports, facilitates subsequent automated organization |
| Timeout period | Set to 120-180 seconds | Adapts to average response duration of multi-source log pulling, avoids timeout during real-time incident processing |
| Chunked transfer threshold | Set to 100 MB | Matches transmission requirements of host images and large log files, avoids overload during single transmission |
| Retry interval | Configure to 60 seconds, with 3 retry attempts | Addresses transmission failures caused by network fluctuations, ensures complete transmission of evidence data |
Three Common Misconfigurations
- The interface returns an empty
responseDatafield. This occurs because global variables are not configured to map common fields of multi-source logs, leading to failure to extract structured data. - The interface frequently returns 504 status codes, triggering timeout errors. This occurs because the timeout period is set too short, failing to adapt to the average response duration of multi-source log pulling.
- Duplicate forensics record entries appear during transmission. This occurs because no event ID deduplication logic is set, leading to redundant data generation when the interface is called repeatedly.
How to Verify Correct Configuration
- Call the test interface, check whether the
Authorizationparameter correctly carries verification information, and confirm that the authentication process operates normally. - Pass simulated multi-source log data, check whether
responseDatareturns structured event fields, and confirm that the variable mapping rules take effect. - Upload test files of different volumes, confirm that chunked transfer and retry logic trigger according to the configured settings, and verify transmission stability.
- Send repeated event requests, check whether the interface generates unique event identifiers, and confirm that the deduplication logic operates normally.
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.