Master AI trust, risk, and security through effective information governance

According to Gartner®, enterprises face multiple AI risks and are most concerned with data compromise, third-party risks, and inaccurate or unwanted outputs: malicious hacks against enterprise AI are still uncommon, while incidents of unconstrained harmful chatbots are well documented and internal oversharing data compromises are prevalent.

AvePoint recommends reading this Gartner report to:

• Understand the potential risks of AI adoption without proper governance including data compromise, oversharing, and inaccurate outputs from AI systems.  
• Learn why weak information governance is the major obstacle to wider GenAI rollouts.
• Discover how prioritizing data governance creates a foundation for successful, accelerated AI adoption across the enterprise. 
   

*Gartner, "Market Guide for AI Trust, Risk, and Security Management," Avivah Litan, Max Goss, Sumit Agarwal, Jeremy D’Hoinne, Andrew Bales, Bart Willemsen 18 February 2025. 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.