As the global AI market continues its rapid expansion, organizations are increasingly adopting advanced AI technologies to drive innovation, efficiency and competitive advantage, transforming the density, diversity and distribution of IT infrastructure. As data and infrastructure sprawl to support AI workloads, the attack surface expands significantly. The evolving IT landscape demands a more resilient approach to safeguard critical data, especially as the frequency and sophistication of ransomware attacks continue to rise.
In order to combat these cyber threats, fast and clean recovery is increasingly important for organizations to stay up and running. BRaaS is designed to bridge the gap between IT recovery and true business continuity. By aligning recovery objectives with critical business outcomes, this joint offering aims to enable organizations to withstand disruptions, minimize downtime, and maintain customer trust, even in the face of sophisticated cyberattacks.
The new BRaaS offering combines Rubrik’s cyber resilience platform with Cognizant’s extensive domain and industry expertise, with the goal of delivering industrialized solutions designed to support client compliance objectives and enhance the business resilience lifecycle for clients. Through Cognizant’s unified BRaaS framework, clients stand to benefit from a service-driven approach engineered to promote adoption, streamline operations, and continually enhance resiliency.
The surge in AI adoption exposes enterprises to new risks, particularly around data integrity, cyber threats, and operational continuity. Rubrik’s Agent Rewind delivers critical capabilities to mitigate AI agent risk and achieve resilience, giving enterprises the ability to undo destructive agent actions safely. With Cognizant’s Neuro ® AI platform, featuring multi-agent orchestration and industry-specific AI solutions, clients can operationalize AI on top of robust data estates protected through advanced security measures. Together, Cognizant and Rubrik aim to protect the foundation for the agentic AI era, where trusted data and rapid recovery are essential.
