As a foundational supporter of the AI Governance Center, we extend our commitment to ethical and safe AI deployment.
Manage artificial intelligence systems and mitigate risk to demonstrate trust.
As business stakeholders begin to embrace generative AI, enterprises require an AI governance framework that breaks down data siloes and ensures smooth oversight. Scale AI governance with lightweight intake assessments and surface potential risk for AI systems throughout the AI lifecycle.
Artificial intelligence introduces complex risks across your organization, from known risks across privacy, cybersecurity, and GRC to more nascent AI ethics risks such as model drift, fairness, and transparency. Assess AI against your business’ established responsible use policies as well as global regulatory requirements and frameworks to ensure effective oversight.
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.
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.
As a foundational supporter of the AI Governance Center, we extend our commitment to ethical and safe AI deployment.
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.
Enhance trusted personalization and demonstrate data privacy compliance with our consent and preference management software.