OWASP AIBOM Generator

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💡Introduction

Artificial Intelligence (AI) has become a term we hear every day, across industries and in our daily lives. From education and healthcare to finance and entertainment, AI continues to transform the way we work and interact with technology.

With the rapid adoption of AI systems and the continuous introduction of new AI models, the demand for transparency, accountability, and ethical usage has grown significantly. This is where an AIBOM (AI Bill of Materials) generator plays a crucial role.

⚙️What is AI-BOM

Many are already familiar with the concept of an SBOM (Software Bill of Materials). An SBOM serves as a comprehensive inventory that documents all the components, libraries, modules, and dependencies that make up a software application. Building on this concept, an AI BOM extends the same principle to artificial intelligence systems. Instead of listing traditional software components, an AI BOM documents AI model metadata.

🚀AIBOM Generator

Currently continuing as an initiative of the OWASP GenAI Security Project, the AIBOM Generator is designed to enhance transparency and governance in AI systems. The tool is capable of generating AI Bills of Materials for AI models available on Hugging Face, enabling organizations to gain deeper visibility into model components and dependencies.

It includes a structured field checklist to ensure that essential metadata is captured, along with a completeness scoring that evaluates how thoroughly an AI model is documented. With just a few steps, users can generate an AI-BOM in CycloneDX format for any supported AI model.

🔐AIBOM Generator and Security

The AIBOM Generator addresses a critical gap the industry has long been seeking to fill. As organizations increasingly adopt AI models, the need for structured visibility into their components, metadata, and associated risks has become essential.

By leveraging the AIBOM Generator, organizations can obtain detailed visibility into model metadata within minutes. More importantly, this level of transparency empowers organizations to assess risks, evaluate technical considerations, and strengthen governance frameworks surrounding their AI deployments.

📊Conclusion

With the rise of AI, understanding model components and their impact is critical. The AIBOM Generator streamlines this process, helping organizations quickly identify potential risks, ensure thorough documentation, and strengthen AI governance across their workflows.

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