Webinar Description
Key Takeaways
- Focuses on data sovereignty challenges when scaling AI and agentic applications from experimentation to production
- Covers governance mechanisms for AI agent interactions and regional data compliance requirements
- Addresses compliance frameworks including SOC2, PCI DSS, HIPAA and FedRAMP
- Designed for CTOs, architects, platform teams and security officers managing enterprise AI infrastructure
About the Webinar
“Building Sovereign AI: Controlling Data, Agents, and AI Traffic” is a technical webinar examining the infrastructure requirements organizations face when moving AI workloads into production environments. The session provides a practical framework for implementing data sovereignty controls across the AI stack, with particular attention to agentic AI applications that introduce new governance considerations.
Tom O’Rourke, EMEA Field CTO at Solo.io, and Michael Levan, AI Architect, lead the session. Their discussion covers architectural approaches to regional data control, identity and policy mechanisms, and traffic management strategies for AI systems operating under strict compliance requirements.
Data Sovereignty and Regional Compliance
The webinar addresses a central tension in enterprise AI deployment: scaling AI capabilities while maintaining control over where data moves and who can access it. Organizations operating across multiple jurisdictions must satisfy varying regulatory requirements, making regional data governance a critical infrastructure concern rather than an afterthought.
The speakers examine how compliance frameworks such as SOC2, PCI DSS, HIPAA and FedRAMP intersect with AI infrastructure decisions. This includes considerations for Kubernetes environments where AI workloads increasingly run.
Governing Agentic AI Systems
Agentic AI applications present distinct governance challenges compared to traditional AI deployments. These systems interact autonomously, making decisions and taking actions that require oversight mechanisms. The webinar explores how organizations can implement controls over agent interactions while preserving the scalability benefits that make agentic architectures attractive.
Who Should Attend
This webinar targets technical and executive professionals responsible for AI infrastructure decisions. CTOs, solution architects, platform engineers, security officers and compliance teams at enterprises deploying or scaling AI systems will find the content relevant. The session assumes familiarity with cloud infrastructure concepts and addresses organizations transitioning AI projects from experimental phases into production environments with enterprise requirements.