Mastering secure AI on Google Cloud, a practical guide for enterprises
Introduction As we continue to see rapid AI adoption across the industry, organizations still often struggle to implement secure solutions because of the new challenges around data privacy and security. We want customers to be successful as they develop and deploy AI, and that means carefully considering risk mitigation and proactive security measures. The four cornerstones of a secure AI platform When adopting AI, it is crucial to consider a platform-based approach, rather than focus solely on individual models. A secure AI platform, like a secure storage facility, requires strong foundational cornerstones. These are infrastructure, data, security and responsible AI [...]