AI assets
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 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.
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.