AI Models and Components Identification

What Is AI Models and Components Identification?

AI Models and Components Identification is a NetRise Turbine capability that detects AI artifacts — models, frameworks, and AI-related components — inside scanned binary images and surfaces their identity, provider, structure, and provenance directly within the SBOM and AI Bill of Materials (AI-BOM).

AI is becoming part of the software supply chain, and security teams need to see it. Without dedicated visibility, AI models inside firmware and applications appear as unknown binaries — invisible to standard SBOM workflows even as governance, compliance, and risk expectations around AI grow. NetRise Turbine identifies AI-classified components in supported formats (ONNX, TFLite, SafeTensors, TensorRT, pickle), surfaces provider attribution (such as OpenAI, Anthropic, Google, Hugging Face), and includes model details like architecture family, parameter count, and producer framework where available.

The result: AI artifacts become first-class entries in NetRise's SBOM and AI-BOM outputs, investigable in the same workflows teams already use for vulnerability, license, and configuration risk.

Related Terms

NetRise Turbine · Software Bill of Materials · AI Bill of Materials · Binary Composition Analysis