Announcing MCP Toolbox Java SDK v1.0: Agentic data access for the enterprise
cloud.google.com·6d ago
Cloud & Infrastructure
Google Cloud Blog·Aug 6·5 min read
Digital sovereignty in the age of AI: You don’t have to choose between control and innovation
TL;DR
Enterprises and governments face challenges in balancing data sovereignty with access to advanced AI technologies. Maintaining on-premises data can limit innovation while addressing jurisdictional and economic risks.
✦ Why It Matters
Evaluate your data management strategy to ensure compliance while accessing AI innovations.
Key Takeaways
- Assess your organization's data residency requirements today.
- Explore Google Distributed Cloud's air-gapped and connected models.
- Consider hybrid cloud strategies to balance innovation and compliance.
- Utilize advanced AI models while maintaining control over your data.
How It Works
Google Distributed Cloud offers two deployment options: an air-gapped model that operates without internet connectivity, ensuring complete data isolation, and a connected model that allows for integrated management of AI workloads on existing infrastructure. This flexibility enables organizations to choose the level of control they need while accessing powerful AI capabilities.