Self-service risk assesment system
Patent Information
- Application Number
- TW115207994
- Authority / Receiving Office
- TW · TW
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2026-08-19
- Publication Date
- 2026-10-21
- Estimated Expiration
- 2036-08-18
Smart Images
Figure TWG2TB001917977_001 
Figure TWG2TB001917977_002
Abstract
Claims
1. A self-service risk assessment system, comprising: a front-end platform providing a user interface for receiving a set parameter and a task request from a client, wherein the set parameter includes a detection target; and a back-end processor coupled to the front-end platform and including an artificial intelligence detection module, wherein the back-end processor responds to the task request by performing a risk assessment analysis on the detection target through the artificial intelligence detection module to generate a preliminary assessment result and send a manual review notification to an auditing end, and responds to the auditing end's response by obtaining a final report formed by the preliminary assessment result after manual review from the auditing end, and providing the final report to the front-end platform for the client to download.
2. The self-service risk assessment system as described in claim 1, wherein the AI detection module establishes an AI model, and the AI detection module inputs an environmental parameter of each weakness item of the detection target into the AI model to output a judgment indication corresponding to each weakness item, and the AI detection module establishes an effective weakness table based on the judgment indications, and generates the preliminary assessment result based on the effective weakness table.
3. The self-service risk assessment system as described in Request 2, wherein the environmental parameters include the vulnerability description, identification code, and token of the vulnerability item.
4. The self-service risk assessment system as described in claim 2, wherein when the judgment indication is not a misjudgment, the artificial intelligence detection module stores the vulnerability item and the environmental parameter corresponding to the judgment indication in the effective vulnerability table; when the judgment indication is a misjudgment, the artificial intelligence detection module excludes the vulnerability item and the environmental parameter corresponding to the judgment indication from the effective vulnerability table.
5. The self-service risk assessment system as described in claim 2, wherein the artificial intelligence model is an LLM (Large Language Model) model.
6. The self-service risk assessment system as described in claim 1, wherein the setting parameters further include an address of the client, the backend processor sends a download notification to the client based on the address, and the client downloads the final report from the frontend platform according to the guidance of the download notification.
7. A self-service risk assessment system as described in claim 6, wherein the address is an email address or an Internet Protocol address.
8. The self-service risk assessment system as described in Request 1, wherein the setting parameters further include a predetermined detection time, and the back-end processor further includes a task scheduling module, which responds to the task request and triggers the artificial intelligence detection module to perform risk assessment analysis on the target at a specified time according to the predetermined detection time.
9. The self-service risk assessment system as described in Request 1, wherein the setting parameter further includes a report name, and the backend processor sets the name of the final report based on the report name.
10. The self-service risk assessment system as described in claim 1, wherein the target of the assessment is a URL.