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# 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.
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