---
sourceDocument: Yokohama Governance, Risk, and Compliance
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/governance-risk-compliance

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama Governance, Risk, and Compliance

ft:clusterId :

    - grc

bundleId :

    - grc

workflow :

    - Technology


---

# AI assets

# AI assets {#ariaid-title1}

* Release version: Yokohama
* 
* Updated July 31, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

An AI asset is a digital resource that leverages artificial intelligence technologies to perform specific functions or address defined business needs.

AI assets encompass datasets, machine learning models, virtual agents, natural language processing systems, and computer vision applications used within digital environments. These technologies represent critical elements of an
organization's digital infrastructure and contribute to AI-driven capabilities across various operational domains.

Additional AI-enabled tools further enhance digital systems and support automation, analytics, and intelligent decision-making across business processes.

Assessments verify that AI assets align with ethical principles such as fairness, transparency, and accountability, while also adhering to internal governance policies and applicable regulatory requirements. Continuous monitoring
and risk assessments are key to maintaining organizational trust and minimizing operational and compliance risks.

Embedded heatmaps and residual risk score widgets provide aggregated risk visibility directly within each AI asset overview record. These visualizations support centralized oversight by illustrating cumulative risk exposure and
highlighting potential vulnerabilities across AI systems, models, and datasets. For more information, see [AI Risk and Compliance workspace](https://servicenow-prod.fluidtopics.net/JFeY2QIsiO6ZbwCwcTUjBA "The AI Risk and Compliance workspace enables the AI risk and compliance manager to view the complete risk posture of the AI assets for an enterprise.").

Real-time monitoring of inherent and residual risks helps identify elevated risk areas and assess the effectiveness of applied control measures. Data-driven insights gained through visual tools improve risk posture evaluation and
inform mitigation strategies across the AI asset landscape.
**Related concepts**   

* [AI systems](https://servicenow-prod.fluidtopics.net/aLzR8xVxBO1F7YeU9K1IGw "An AI system is an AI-powered solution that is developed, deployed, and managed under a formal governance framework. This framework ensures that the system operates in a responsible, compliant, and risk-aware manner throughout its lifecycle.")
* [AI models](https://servicenow-prod.fluidtopics.net/XH59v5jZNdVUyZ8jwDRIUg "An AI model is designed, deployed, and monitored in accordance with structured governance frameworks. These frameworks ensure the AI model’s ethical use, regulatory compliance, and risk mitigation throughout its lifecycle.")
* [Datasets](https://servicenow-prod.fluidtopics.net/pNsalA0O3CTmqkjZQEK5tw "A dataset is a curated collection of structured data used to develop, deploy, and monitor AI systems in line with organizational policies, regulations, and ethical standards.")