As organizations race to uncover where and how AI can supercharge growth while driving unprecedented efficiencies, most are concerned about the potential risks that AI can bring to the reputation, protection, and privacy of their sensitive data; their ability to meet regulatory and sovereign needs; and the security of their core operating systems and applications. Standards bodies are working in parallel to establish frameworks to guide AI program security and development, but organizations are left to fabricate their own AI implementations, slowing the realization of AI’s potential. In order to rapidly iterate with AI to achieve the greatest potential, new security solutions are needed to help mitigate risks unique to AI. Solutions like AI Protection, Model Armor, and Confidential Computing from Google Cloud can help organizations confidently build, deploy, and run AI workloads by enabling the secure, private, sovereign, and compliant use of AI.

Accelerating Secure, Private, and Compliant AI Transformation

First Name *

Last Name *

Email *

Phone Number *

Company Name *

Job Title *

Address *

City *

State or Province *

Zip or Postal Code *

Country *

Company Size *

Industry *

If you engage with the content, Software Insider will share your data with Google Cloud. For details on their information practices and how to unsubscribe, see their Privacy Statement. You can unsubscribe at any time.

FILL THE FORM BELOW

You have been directed to this site by Software Insider. For more details on our information practices, please see our Privacy Policy, and by accessing this content you agree to our Terms of Use. You can unsubscribe at any time.