| # A.I.G Case Studies | |
| ## Internal AI Infrastructure Vulnerability Scanning | |
| A.I.G's `AI Infra Scan` feature supports the detection of CVE vulnerabilities in the web services of AI frameworks such as vLLM, ComfyUI, Ollama, Triton Inference Server, and Ray. | |
| ## More Recommended Integration Scenarios | |
| A.I.G can be flexibly integrated into existing business pipelines to achieve automated security testing. Below are some common integration scenarios and tool types: | |
| ### CI/CD Pipelines: | |
| A.I.G can serve as a security gate in a CI/CD pipeline, automatically triggering scans during code submission, build, or deployment phases to ensure that only applications that pass security checks can proceed to the next stage. | |
| - **Example Integration Point**: Call A.I.G's API for security detection after an MCP Server is built or before it is deployed. | |
| ### DevSecOps Platforms: | |
| Integrate with DevSecOps platforms to aggregate all of A.I.G's risk scan results into a unified security dashboard, providing comprehensive security posture awareness. | |
| - **Example Integration Point**: Import A.I.G's scan reports into the DevSecOps platform via API or report export functionality. | |
| ### Git Code Security Review: | |
| Integrate with code repositories to automatically trigger security scans during Pull Requests or Merge Requests, with results displayed directly in the code review interface. Common integration tools include: | |
| - **Example Integration Point**: Configure webhooks to trigger A.I.G scans on PR/MR events and send the status check results back to the code repository. | |