AI Bill of Materials – Inventory Your AI & ML Assets
Extend software transparency to your AI. Catalog all models, datasets, and AI components with an AI-BOM to manage AI risks and compliance (e.g. bias, provenance, and regulatory requirements).
Explore AI-BOM FeaturesWhat is an AI-BOM?
An AI Bill of Materials (AI-BOM) is like an SBOM, but for Artificial Intelligence assets. It's a comprehensive inventory of the datasets, machine learning models, training code, and even hardware configurations that make up your AI systems. Our platform can generate and manage an AI-BOM for your organization, giving you unprecedented visibility into your AI/ML supply chain. As AI adoption grows, so do concerns around model provenance, data quality, and biases – an AI-BOM helps tackle these by cataloging everything in one place.
AI Risks and Compliance
AI systems introduce unique risks: data privacy issues, biased models, unvetted third-party AI services, etc. Regulations like the EU AI Act are emerging to govern AI usage. By maintaining an AI-BOM:
Ensure Ethical & Legal Compliance
Document the origin of training data to ensure it meets privacy and copyright standards. Track model licenses and usage rights (yes, AI models have licenses too). This makes compliance audits straightforward.
Manage AI Risk
Identify if a model was sourced externally (e.g., from an open-source repository or vendor) so you can monitor it for vulnerabilities or malicious alterations. Trace data lineage – know what data went into training a model, which is critical for debugging bias or drift issues.
Improve Transparency
For internal governance or customer trust, an AI-BOM demonstrates you have control over your AI. Stakeholders can see what's inside the "black box" – from algorithms to datasets – fostering trust in your AI outcomes.
Unified AI Asset Management
Managing an AI-BOM with our platform is seamless:
Model Registry Integration
We integrate with your model storage or registry (like HuggingFace, MLflow, etc.) to automatically list all models in use, along with versions and metadata (framework, size, last trained date).
Dataset Cataloging
Connect your data lake or data warehouse to catalog datasets used for training or inference. We capture details like data source, size, schema, and any relevant tags (e.g. "PII-free", "GDPR-compliant").
Algorithm Tracking
Link your repositories to include information about custom algorithms or scripts used in model training. If you're using third-party AI services or libraries, those get captured too.
Hardware & Environment
Optionally, log the hardware (GPUs, specialized chips) and environment parameters (OS, drivers) used in your AI pipeline – important for reproducibility and security patches.
Secure and Streamline Your AI Initiatives
Faster Incident Response
If a vulnerability is found in a popular ML library or a backdoor is discovered in a pretrained model, you can quickly search the AI-BOM to see if you are affected. This speeds up response to AI-specific threats (like trojaned models or poisoned datasets).
Facilitate Model Governance
For model reviews or AI governance boards, having an AI-BOM means you have all facts at hand – data sources, training process, evaluation metrics. It simplifies approving models for production since everything is documented.
Simplified Audits
When regulators or customers ask how your AI system was built, you can provide an AI-BOM report. It's an easy-to-understand inventory proving you follow best practices in tracking and managing AI components. This can be critical for certifications or government procurements where AI transparency is required.
Prepare for the Future of AI Regulations
AI regulations are still evolving, but a common theme is transparency and accountability. By adopting AI-BOM management now, you're ahead of the curve. Our tool will adapt with emerging standards (for instance, the upcoming SPDX for AI profiles) so you can seamlessly incorporate new requirements. Whether you are deploying AI in healthcare, finance, or any sector, our AI-BOM solution ensures you have a solid foundation of trust in your AI supply chain.