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AI Classification is the process by which the Holistic AI Governance Platform determines whether something discovered during a scan is genuinely AI related or not. Not everything found in your connected Sources will be an AI system, so the platform needs a way to separate AI content from everything else.
When the platform scans your code repositories, cloud environments, and collaboration tools, it finds all kinds of content. Regular software code. Documentation. Configuration files. Data pipelines. Infrastructure scripts. Only some of this is related to AI or machine learning. Classification is the intelligence layer that makes this distinction automatically, so your governance team doesn't have to manually review thousands of items to figure out what is actually AI.
1. The platform scans a connected Source and discovers content
2. Each piece of discovered content is analyzed to determine whether it contains indicators of AI or machine learning activity
3. The platform assigns a classification: AI or Non AI
4. AI classified items are flagged and moved into the governance pipeline as Artifacts
5. Non AI items are still logged for transparency but don't require governance action
The classification process considers a range of signals that indicate AI activity. These include but are not limited to:
- Machine learning model training code and scripts
- Model files, weights, and serialized objects
- ML pipeline definitions and orchestration configurations
- Jupyter notebooks and experimentation environments with ML content
- AI service configurations and inference endpoint definitions
- Documentation and specifications that describe AI systems or capabilities
The platform continuously improves its classification accuracy, reducing false positives and ensuring your governance team focuses on genuine AI activity.
Classification is not a black box. Your governance team has full visibility into how items were classified and can review, adjust, or override classifications when needed. If the platform flags something as AI that is not, or misses something that is, your team can correct it. These corrections help refine future classifications and ensure accuracy improves over time.
Items classified as AI become Artifacts in the platform. These are the raw building blocks of your AI inventory. From there, related Artifacts are grouped together into Assets, which represent complete AI systems. Classification is what transforms a raw scan into structured, actionable governance data.
Without intelligent classification, AI Discovery would flood your governance team with thousands of irrelevant items. The Holistic AI Governance Platform uses advanced classification enigne to automatically separate AI from non AI content, delivering only what matters to your governance pipeline. Combined with human review capabilities and continuous improvement, it strikes the right balance between automation and control.