Generative AI Security and Risk Management

Read this Gartner® image on Generative AI Security and Risk Management, sourced from their reputable Gartner® Peer Community survey, to discover the intricate landscape of risks associated with generative AI tools and gain invaluable strategies for effective risk mitigation.
As organizations increasingly explore the potential of generative AI, understanding these complexities becomes paramount. By absorbing these findings, IT and SRM leaders can discern the importance of adopting Confidential Computing to preserve data integrity and fortify the security of AI-generated artifacts.
Confidential Computing provides a robust solution to mitigate the complex risks of generative AI tools by creating trusted execution environments that prevent unauthorized access, data leaks, and adversarial attacks. This approach bolsters data integrity, fosters compliance, and instills confidence in the secure adoption of generative AI innovations.
Gartner, Generative AI Security and Risk Management, 3 August 2023, Peer Contributors 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.
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Read this Gartner® image on Generative AI Security and Risk Management, sourced from their reputable Gartner® Peer Community survey, to discover the intricate landscape of risks associated with generative AI tools and gain invaluable strategies for effective risk mitigation.
As organizations increasingly explore the potential of generative AI, understanding these complexities becomes paramount. By absorbing these findings, IT and SRM leaders can discern the importance of adopting Confidential Computing to preserve data integrity and fortify the security of AI-generated artifacts.
Confidential Computing provides a robust solution to mitigate the complex risks of generative AI tools by creating trusted execution environments that prevent unauthorized access, data leaks, and adversarial attacks. This approach bolsters data integrity, fosters compliance, and instills confidence in the secure adoption of generative AI innovations.
Gartner, Generative AI Security and Risk Management, 3 August 2023, Peer Contributors 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.