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.