
Best Practices for Data Sovereignty with F5
About this event
Join our upcoming webinar to see how F5 helps regulated organizations hold data sovereignty, operational resilience, and compliance together as the regulatory and geopolitical landscape shifts.
You'll learn practical approaches to data sovereignty: keeping control over residency, inspection, and logging without fragmenting operations across hybrid and multicloud environments. We'll show how F5's Application Delivery and Security Platform (ADSP) supports regulated organizations with SLA-grade resilience, air-gapped operation, and sovereign control over sensitive data.
Whether you're navigating global regulatory demands or adapting to geopolitical change, you'll leave with actionable steps for enabling sovereignty while protecting your business and customer data.
What you'll learn
- How to establish data sovereignty by retaining authority over data access, processing, inspection, and logging across hybrid and multicloud environments
- How F5 helps meet GDPR, DORA, and NIS2 requirements with audit-ready resilience, data residency, and operational independence
- How finance, healthcare, and government organizations cut risk through tailored sovereignty architectures, with real F5 ADSP examples
- How to equip your organization to adapt to changing regulatory and geopolitical conditions with one platform spanning all environments
- Learn which F5 products and solutions help you maintain data residency while meeting business and regulatory requirements
Topics covered
Frequently asked questions
Who is hosting Best Practices for Data Sovereignty with F5?
Best Practices for Data Sovereignty with F5 is hosted by F5 EMEA.
When is Best Practices for Data Sovereignty with F5?
Best Practices for Data Sovereignty with F5 is scheduled for Wednesday, July 22, 2026 at 8:00 AM.
Where does registration take place?
Registration or viewing is completed on F5 EMEA's website.
What format is this event?
This is an online webinar.
Which topics does this event cover?
The event covers Data.


