feat: added comparison document for ai-bom, Cisco AIBOM, and Snyk

README.md

@@ -17,7 +17,7 @@
   <a href="#agent-sdks">SDKs</a>&ensp;&middot;&ensp;
   <a href="#n8n-community-node">n8n Node</a>&ensp;&middot;&ensp;
   <a href="#cicd-integration">CI/CD</a>&ensp;&middot;&ensp;
-  <a href="#comparison">Compare</a>&ensp;&middot;&ensp;
+  <a href="docs/comparison.md">Compare</a>&ensp;&middot;&ensp;
   <a href="#architecture">Docs</a>
 </div>
 
@@ -306,6 +306,7 @@ That's it. The node fetches all workflows, scans them, and serves an interactive
 - Optional password protection (AES-256-GCM encrypted, client-side decryption)
 
 ---
+> Looking for AI-BOM ecosystem comparisons? See [AI-BOM Tool Comparison](docs/comparison.md).
 
 ## Comparison
 

docs/comparison.md

@@ -0,0 +1,98 @@
+\# AI-BOM Tool Comparison
+
+
+
+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 | No | Yes | Unknown |
+
+| 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 |
+
+
+
+---
+
+
+
+\## 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).
+
+\- 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 Snyk platform.
+
+\- Provides CI/CD integration.
+
+\- Public documentation on supported scanners and formats is limited.
+
+
+
+---
+
+
+
+\_Last updated: 2026\_
+