From Backups in the Basement to the Boardroom: The Evolution of Cyber Resilience

Interested in being a guest? Email us at [email protected] cybersecurity landscape has fundamentally shifted from prevention to resilience. Gone are the days when organizations could reasonably expect to prevent all breaches. Now, the question isn't if you'll be breached, but when—and how quickly you can recover.Rubrik stands at the forefront of this new reality, bringing a refreshingly practical approach to data security. Rather than promising impenetrable defenses, they've built a platform that helps organizations bounce back quickly when attacks inevitably occur. By analyzing data risks, understanding data locations, and minimizing unnecessary access points, companies can significantly reduce breach impacts and accelerate recovery times.What makes Rubrik's approach particularly powerful is their unique combination of identity security and data classification. While many security tools focus exclusively on either identity or data, Rubrik recognizes that these elements are inseparable in modern environments. Attackers target identities as pathways to sensitive data, making it essential to understand which identities—both human and non-human—can access your most critical information. This perspective has become increasingly important as organizations navigate the complexities of machine identities, API tokens, and AI agents.The conversation also explores Rubrik's innovations in AI security, including Project Annapurna, which enables organizations to run AI models against backed-up data with carefully controlled access. As Multi-Agent Collaboration Protocol (MCP) creates new possibilities for security automation, Rubrik helps customers balance innovation with appropriate safeguards.Ready to transform how your organization thinks about data security and resilience? Visit the Rubrik booth at RSAC to learn more about their revolutionary approach to combining identity and data security.Support the showMore at https://linktr.ee/EvanKirstel