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AI adoption is accelerating across engineering teams. Developers integrate AI SDKs into application code and adopt AI-powered development tools, often without centralized oversight. This creates blind spots for security and compliance teams. vet provides two complementary capabilities to address this:
  1. Shadow AI in Code detects AI and LLM SDK usage in your source code through static analysis and produces a CycloneDX SBOM with AI component evidence. It answers: what AI services does your application call?
  2. AI Tools Discovery scans developer machines and project repositories to inventory AI coding agents, MCP servers, CLI tools, and IDE extensions. It answers: what AI tools are developers using to write code?
Together, these give security teams a complete picture of AI usage across both the software supply chain and the development environment.