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

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    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Governance, Risk, and Compliance

ft:clusterId :

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workflow :

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---

# AI assets

# AI assets {#ariaid-title1}

* Release version: Australia
* 
* Updated March 12, 2026
* 
* ![](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.

## Overview of AI assets {#ai-assets-airc__section_xq3_24n_lhc}

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/GWra97fbuMSeap4RZObPLQ "The AI Risk and Compliance workspace is the central hub for AI risk and compliance managers to monitor risk posture, track assessments, manage controls and issues, and oversee AI cases across the 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/gIz~NmGxHM_t4mNtGmnnEg "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 life cycle.")
* [AI models](https://servicenow-prod.fluidtopics.net/mnRQGmhuUB4lt~zTu17c7A "An AI model goes through design, deployment, and monitoring in accordance with structured governance frameworks that support ethical use, regulatory compliance, and risk mitigation throughout its life cycle.")
* [Datasets](https://servicenow-prod.fluidtopics.net/uh1hqFkVnzdMwk5VNAUYrg "Datasets in AI Risk and Compliance capture and govern the data used by AI models, enabling organizations to evaluate risk, ensure compliance, and maintain transparency across the AI asset life cycle.")