Gain continuous visibility into open-source components and their licenses across all applications
An Artificial Intelligence Bill of Materials (AIBOM) is not a successor to the SBOM, but an expanded lens that adds critical visibility into the models, data, and risks that shape AI-driven systems.
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🔹Training datasets & lineage
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🔹Model Architectures
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🔹Feature extraction pipelines
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🔹Third-party libraries
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🔹Model provenance
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🔹Compliance risks
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Modern AI systems are assembled from an ecosystem of open source models, datasets, and libraries - yet no organization today has a reliable inventory of what actually powers their AI.
Risk of copyright infringement, PII exposure, or sanctioned-source datasets.
LLMs, embeddings, quantized models, and runtimes can carry vulnerabilities or licensing obligations.
AI pipelines change weekly; auditing them manually is unrealistic.
The EU AI Act requires provenance evidence, audit trails, and risk classification.
Automotive, industrial, medical, and financial systems increasingly embed AI models.
Open source licensing rules are complex and inconsistent. Traditional tools miss subtle conflicts. Our AI reads license texts like a legal engineer to solve complex issues.
| Semantic Understanding | |
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AI interprets legal text, not just regex matching.
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| Copyleft & Copyright Risk Detection | |
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Flags reciprocity clauses, patent grants, and attribution.
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| Automated Conflict Analysis | |
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Detects incompatibilities with corporate policies.
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One of the biggest blind spots today: Where do your open source components actually come from? Most SBOM tools do not answer who maintains a package or where they are located.
| Automatic Maintainer & Contributor Identification | |
| AI combines GitHub metadata (Email, Website) and commit history to build a complete picture. | |
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Geo-Risk Classification
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Automatically detects maintainer country of origin and links to high-risk jurisdictions.
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Policy Guardrail Example |
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"No open-source packages maintained by contributors located in a specific country should enter our codebase." |
by Giorgi Duchidze - Engineering - Nov 21, 2025
by Giorgi Duchidze - Engineering - Nov 21, 2025
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