Whether you’re buying AI through third parties or building AI in-house, AI Governance empowers risk-based decisions.

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.

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.

Build, scale, and automate your third-party risk management (TPRM) program to earn trust and maintain business continuity over time.

Automate your data discovery and classification process and inform business decisions among privacy, security, and data governance teams.

Gain the real-time privacy, security, and third-party regulatory knowledge you need to maintain an effective compliance program.