12/06/2024 | News release | Archived content
Everyone knows that data protection and security are mission-critical for businesses today. But how do you manage an ever-growing mountain of files, especially when the data ranges from outdated, irrelevant documents to the most sensitive legal agreements?
The answer lies in data classification-the key to clarity and control over your data estate.
The NIST cybersecurity framework places data governance at the heart of a truly cyber-resilient organization. Without a clear understanding of your data, protecting and managing it becomes a major challenge. That's where NetApp® BlueXP™ classification (formerly Cloud Data Sense) comes in-offering the visibility you need to make smarter decisions about your data.
By leveraging AI and natural language processing, BlueXP classification helps you organize and analyze your data, no matter how messy it may be. Whether it's determining what should be replicated for protection or applying NetApp SnapLock® for compliance, this tool provides the intelligence you need to protect your data, no matter where it resides.
Governing your data:
Optimizing your storage:
Accelerating your data migration projects:
Maintaining regulatory compliance:
Preparing your data for generative AI and retrieval-augmented generation (RAG):
Watch this video to see how BlueXP classification transforms the way you manage and protect your data estate.
To learn more about BlueXP Classification, check out our solutions page. And to dive deeper into our video series and learn how to architect true cyber resilience, binge the rest of our series playlist.
Cecile is a technical solutions specialist supporting NetApp Public Sector customers on their data-centric workload challenges and goals. Before moving into the TSS role, Cecile spent 5 years at NetApp supporting the cloud portfolio. She is a NetApp A-Team technical advisor, a customer advocate on the NetApp Technical Advisory Board, and a NetApp Women in Tech Steering Committee member.
View all Posts by Cecile Kellam