AI-BOM Tool Comparison
March 15, 2026 ยท View on GitHub
This document compares ai-bom with other AI Bill of Materials tools currently available in the ecosystem.
The goal is to help users understand feature differences and choose the right tool for their workflow.
Feature Comparison
| Feature | ai-bom | Cisco AIBOM | Snyk AIBOM |
|---|---|---|---|
| License | Apache 2.0 | Apache 2.0 | Proprietary |
| Open Source | Yes | Yes | No |
| Scanners | 13+ (code, cloud, Docker, GitHub Actions, Jupyter, MCP, n8n, etc.) | 1 (Python-focused) | Unknown |
| Output Formats | 9 (Table, JSON, SARIF, SPDX, CycloneDX, CSV, HTML, Markdown, JUnit) | JSON, CSV | Unknown |
| CI/CD Integration | GitHub Action, GitLab CI | No | Yes |
| LLM Enrichment | Yes | Yes | Early access / limited preview |
| n8n Scanning | Yes | No | No |
| MCP / A2A Detection | Yes | No | No |
| Agent Framework Detection | LangChain, CrewAI, AutoGen, LlamaIndex, Semantic Kernel | Limited | Unknown |
| Binary Model Detection | Yes (.onnx, .pt, .safetensors, etc.) | No | Unknown |
| Policy Enforcement | Cedar policy gate | No | Yes |
| Best For | Multi-framework projects needing multiple formats and optional LLM enrichment | Python projects needing LLM enrichment | Existing Snyk customers |
Notes
ai-bom
- Open-source AI Bill of Materials scanner focused on discovering AI/LLM usage across codebases and infrastructure.
- Supports multiple scanners, formats, and compliance mappings (OWASP Agentic Top 10, EU AI Act).
- LLM enrichment (
--llm-enrich) uses litellm to extract specific model names from code, supporting OpenAI, Anthropic, Ollama, and 100+ providers. - Designed for developer workflows with CLI, CI/CD, and dashboard support.
Cisco AIBOM
- Open-source tool focused primarily on Python projects.
- Uses LLM-based enrichment to extract model usage.
- Limited scanner coverage and output formats compared to ai-bom.
Snyk AIBOM
- Proprietary feature integrated into the Snyk platform.
- Currently in early access / limited preview.
- Provides CI/CD integration.
- Public documentation on supported scanners and formats is limited.
Last updated: 2026