Snyk AI-BOM: Enhancing AI Supply Chain Transparency

Snyk AI-BOM is an experimental feature of the Snyk CLI designed to generate a Bill of Materials (BOM) for local Python projects, specifically focusing on AI components. It helps developers and security professionals identify and map AI models, datasets, agents, tools, and MCP components within their projects, offering a clear view of AI supply chain dependencies and connections to external services. This tool is ideal for teams working with AI systems who need to ensure transparency, security, and compliance in their software development lifecycle.

Key Features:

• AI-BOM Generation: Creates a CycloneDX v1.6 (JSON) format Bill of Materials for AI components.
• AI Component Detection: Identifies AI models, datasets, agents, tools, and MCP components.
• Dependency Mapping: Tracks AI supply chain dependencies and connections via the Model Context Protocol (MCP).
• MCP Detection: Detects MCP clients, servers, tools, and resources in the AI supply chain.
• Snyk CLI Integration: Works within the Snyk CLI, requiring version v1.1298.3 or later.
• HTML Visualization: Optional flag to embed the AI-BOM into an HTML visualization.
• JSON Output: Optional flag to save the AI-BOM output to a JSON file.
• Organization Support: Optional --org=<ORG_ID> flag to specify a Snyk Organization.
• Experimental Flag: Requires the --experimental flag to use.

Pricing: Snyk AI-BOM is part of the Snyk CLI, which offers a free tier and paid subscription plans. The feature is currently experimental and may undergo breaking changes.

Conclusion: Snyk AI-BOM provides a powerful, experimental tool for enhancing visibility and security in AI-driven projects, making it a valuable asset for developers and security teams focused on AI supply chain integrity.