Accelerating Secure, Private, and Compliant AI Transformation
Abstract: 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.
