Cloud dependency, increasing regulatory pressure, and ever more sophisticated threats to your data powered by AI: Is your data protection strategy resilient enough to withstand these challenges? In an era where data is more dynamic, dispersed, and targeted than ever, traditional security approaches are no longer enough.
As organizations increasingly rely on data stored in SaaS applications, many overlook a growing risk: the fragility of conventional data protection. From the illusion of protection in the shared responsibility model to limited data control and backups becoming a target in cyberattacks, the cracks in conventional cloud backup are starting to show. Join us for an expert-led discussion where we unpack the core vulnerabilities in today’s data protection strategies and discuss a radically different architectural approach designed for security.
This session will explore limitations of the public cloud, key components of a modern data protection strategy, and how AI is changing the game. Learn how to shift from a conventional approach to a proactive, security-first strategy, ensuring your data remains immutable, accessible, and always recoverable.
Key takeaways:
- Understand the role of AI in security and how it changes both threat and defense
- Explore the drawbacks of conventional data protection strategies
- Learn how to keep your SaaS data secure, compliant, and recoverable
- Gain practical guidance to reduce cloud dependency and strengthen organizational resilience