6 stories
Enterprises pushing AI agents into production are finding that cyber resilience now depends as much on governing what autonomous software does with data as on keeping attackers out.
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 is turning nearly every enterprise workload into a data workload, and data governance is becoming the test of whether companies can trust autonomous systems with the infrastructure underneath. The question is no longer only where data lives, but what is allowed to act on it.
As open-weight models close in on the performance of proprietary frontier systems, enterprises are gaining a credible way to run generative AI on hardware they own. That shift puts the data already sitting in corporate storage at the center of the private AI conversation.
As enterprises push AI out of pilots and into production, FlexPod, the converged infrastructure franchise built by NetApp Inc. and Cisco Systems Inc., is being recast as a pretested answer to AI’s complexity. Customers want a trusted platform, not a pile of parts to integrate themselves.
Storage architecture is being rewritten for artificial intelligence factories. Traditional enterprise storage was designed around workloads that scaled in relatively predictable ways.
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