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Infrastructure modernization often stalls at the storage layer, where moving mission-critical applications to the cloud can mean redesigning them from scratch. Now, AI is raising the stakes as enterprises push decades-old data estates into production AI. NetApp Inc. and Oracle Corp.
Artificial intelligence has pulled data infrastructure out of the back office and into conversations with buyers who never had to think about storage before. For longtime storage providers, that shift is a rare chance to retell their story to an audience with no preconceptions. NetApp Inc.
For enterprises, data resiliency ultimately comes down to an ability for useful work to continue. The definition sounds simple, yet making sure that data in critical systems is fully protected and accessible as rapidly as possible is a complicated task.
The practice of building cybersecurity directly into networks and databases has taken on greater importance in the new era of agentic AI. Trust boundaries are being relocated to the database itself, where access policies can be enforced regardless of the instructions an AI agent has received.
Security operations teams are changing their approach in the world of artificial intelligence, adopting automation to turn signals into outcomes while maintaining the right context and control.
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