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AI Governance

Champion responsible AI adoption

Whether you’re buying AI through vendors and 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 

Graphic depicting widgets from the AI governance product module

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.

Graphic depicting a table of AI projects and their stages

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. 

graphic depicting tables of AI risks and controls and data elements for each

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.

Graphic depicting inventory details for 2 separate models and the data related to them

Build trust and provide transparency to key stakeholders including customers, board members, employees, and regulators with actionable insights, dynamic dashboards, and model cards. 

Illustration of key AI governance dashboard metrics promoting transparency with stakeholders by detailing risk level and quarterly evaluation of project progression

July 10, 2024

From build to buy: Exploring common approaches to governing AI

In this webinar, we'll navigate the intricate landscape of AI Governance, offering guidance for organizations whether they're developing proprietary AI systems or procuring third-party solutions.

Customer spotlight

We're looking to extend our work in AI governance on top of the existing privacy program components and structure and partnering with OneTrust to carry this out.
Head of Privacy by Design, Telecommunications Company

 Meet emerging AI regulation requirements and build trust


Gain a deeper understanding of AI systems, identify potential risks, and develop strategies to mitigate those risks in line with the NIST AI RMF. 


Assess AI systems using the OECD Framework for Classification of AI Systems checklist and address gaps under each of the principles.  


Evaluate projects for risk in accordance with the European AI Act risk categories, conduct conformity assessments, and demonstrate transparency. 

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