AI Governance
Champion responsible AI adoption
Whether you’re buying AI through third parties or building AI in-house, AI Governance empowers risk-based decisions.
- Understand your AI footprint
- Mitigate third-party AI risk
- Unlock AI-ready data
- Govern AI/ML development
Gain visibility and control over your AI technology
Manage AI projects, track proprietary and open-source models, govern training datasets, and gain visibility into your organization's AI usage and development through standardized intake mechanisms, project management integrations, and AI/ML scanning.
Facilitate trust throughout AI onboarding, development, and delivery. Streamline decision-making across compliance, risk management, and technology stakeholders to ensure alignment with global laws, standards, and organizational policies. Accomplish it all within a secure, centralized platform.
Detect and address shadow AI and deviations from intended AI use. Promote collaboration among AI governance committees and cross-functional stakeholders. Control and monitor AI/ML technologies within a centralized program command center.
Build trust and provide transparency to key stakeholders including customers, board members, employees, and regulators with actionable insights, dynamic dashboards, and model cards.
Customer spotlight
We're looking to extend our work in AI governance on top of the existing privacy program components and structure, in partnership with OneTrust.
Meet emerging AI regulation requirements and build trust
NIST RMF
Gain a deeper understanding of AI systems, identify potential risks, and develop strategies to mitigate those risks in line with the NIST AI RMF.
OECD
Assess AI systems using the OECD Framework for Classification of AI Systems checklist and address gaps under each of the principles.
EU AI Act
Evaluate projects for risk in accordance with the European AI Act risk categories, conduct conformity assessments, and demonstrate transparency.
IAPP AI Governance Center – foundational supporter
As a foundational supporter of the AI Governance Center, we extend our commitment to ethical and safe AI deployment.
Responsible Artificial Intelligence Institute (RAI Institute)
As a member of the RAI Institute, we work with a community of practitioners to identify strategies to mitigate AI-related risks and implement mature responsible AI practices.
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