Critical steps for effective AI governance and risk management
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Successfully managing AI governance, trust, risk, and security is the cornerstone of maximizing value from AI investments. According to Gartner:
- By 2027, AI governance will become a mandated component of all sovereign AI laws and regulations worldwide.
- By 2027, 75% of AI platforms will incorporate robust AI governance and TRiSM (trust, risk, and security management) capabilities, making them the primary differentiators in the market.
Explore the report, “A Journey Guide to Managing AI Governance, Trust, Risk and Security,” and learn how to:
- Navigate the AI governance journey with a structured framework that includes gaining foresight, building a value case, executing strategies, and scaling efforts.
- Balance enforcement, enablement, and engagement in your AI governance framework to ensure transparent, ethical, and compliant AI deployment.
- Address critical risks, including AI transparency, privacy, security vulnerabilities, environmental sustainability, and cost unpredictability, while aligning with societal and regulatory demands.
Notes and disclaimers
Gartner, A Journey Guide to Managing AI Governance, Trust, Risk and Security, 29 October 2024, Deepak Seth Et Al.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
