Unlock the Power of AI: Accelerate Your Business with a Foundation of Trust

Deploying AI at scale shouldn't come with daunting security and privacy risks. The Google Cloud approach to generative AI provides a solution built on a foundation of responsible practices with built-in mechanisms for robust data governance, privacy, and security. With a "shared fate" approach to partnership, Google Cloud provides the tools and guidance you need to keep your data and AI models safe.

In this whitepaper, you will learn how to build, secure, and innovate responsibly with AI by leveraging Google Cloud’s key principles:

• Build a Secure Foundation for AI Innovation. Confidently accelerate your AI projects by leveraging Google Cloud’s defense-in-depth strategy and the Secure AI Framework (SAIF) to safeguard your business and mitigate risk.
• Ensure Data Privacy and Maintain Control. Gain peace of mind knowing your data is never used to train Google's models without your explicit permission, ensuring your proprietary information remains yours.
• Protect Your Business with a First-of-its-Kind Guarantee. Mitigate legal risk and reduce worry with Google’s industry-first indemnification, which assumes responsibility for potential copyright challenges related to training data or generated output.
• Simplify Complex Compliance. Navigate the evolving regulatory landscape with ease. Google Cloud provides comprehensive documentation and audit reports to support your compliance efforts and is proactively preparing for new frameworks like the EU AI Act and NIST AI RMF.

Download the whitepaper to learn how Google Cloud helps you build, secure, and innovate responsibly with AI.