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Two of the most important terms you will see in our platform are Assets and Artifacts. They work together but serve very different purposes. Here is a simple breakdown of what each one means and how they relate to each other.
An Artifact is a single piece of evidence that AI exists somewhere in your organization. An Asset is the complete AI system that piece of evidence belongs to.
When we scan your connected sources, every individual AI related item we find becomes an Artifact. When we group related Artifacts together into one AI system, that becomes an Asset. Artifacts are what we discover. Assets are what you govern.
An Artifact is the smallest unit of discovery in our platform. Every time we scan your connected sources, each individual item we identify as AI related gets logged as its own Artifact. It is a single, atomic record tied to one specific source.
Here are some things that would be logged as individual Artifacts:
- A model training script sitting in a code repository
- A deployed inference endpoint running in a cloud environment
- A project specification document stored in a collaboration platform
- An experiment log inside an ML tracking tool
- A notebook containing machine learning code
Each one gets its own record with metadata: where we found it, when we found it, what type of content it is, and how it was classified.
Think of Artifacts as raw evidence. They tell us that something AI related exists, but on their own they do not give you the full picture of the AI system they belong to.
An Asset is the main thing you work with in our platform. It represents a complete AI system - the thing you actually assess, test, monitor, and report on. We create Assets by grouping related Artifacts together through a process we call Reconciliation.
When you open an Asset in our platform, you will see everything about that AI system in one place:
- All the Artifacts that make up this system
- Who owns it and which team it belongs to
- Its risk scores and assessment results
- Every governance action that has been taken on it
- Any outstanding tasks or follow ups
- A complete audit trail from the moment it was created
Every assessment, workflow, and compliance action in our platform runs at the Asset level. You do not govern individual Artifacts. You govern Assets.
The relationship is many to one. One AI system usually produces multiple Artifacts across different sources. The training code lives in one place, the deployment config lives in another, the documentation lives somewhere else. Each of those is a separate Artifact. Together, they form one Asset.
Here is how the flow works in our platform:
1. We scan your connected sources and discover individual items
2. Items we classify as AI related become Artifacts
3. We group related Artifacts together through Reconciliation
4. Each grouping becomes an Asset in your inventory
5. You and your team work with Assets for all governance activities
Having both layers gives you two levels of visibility that serve different needs.
- Artifacts give you traceability - Every piece of AI evidence is captured and linked back to where it was found. When an auditor asks where the evidence came from, you have a clear answer
- Assets give you governance - Your compliance, risk, and leadership teams get a structured view of each AI system. They can assess it, track it, and make decisions on it without getting lost in individual files and scripts
Without Artifacts, you lose the evidence trail. Without Assets, you have a pile of disconnected data points with no way to manage them. Our platform gives you both.
- Scope - An Artifact is a single item from a single source. An Asset is a complete AI system made up of one or more Artifacts
- Purpose - Artifacts are your evidence and audit trail. Assets are your unit of governance
- How they are created - Artifacts are created automatically when our scans find AI related content. Assets are created through Reconciliation or by your team manually
- Where governance happens - Assessments, workflows, and compliance actions all run at the Asset level, not on individual Artifacts
- Volume - You will typically have many more Artifacts than Assets, since each Asset is made up of multiple Artifacts
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Holistic AI Governance Platform | Learn Section | AI Discovery & Inventory