
Pure Storage also expanded its AI Copilot with new features, including Portworx Pure1 AI Copilot for Kubernetes environments. The company said users can now “query Portworx clusters in the same way they interact with FlashArray systems” using natural language.
The vendor also announced integration with Model Context Protocol servers, scheduled for general availability in Q4 FY26. Pure Storage said the feature will let “IT teams troubleshoot, provision, or optimize without deep technical expertise” by connecting storage systems with external analytics and monitoring tools.
For AI workloads, Pure Storage introduced a Key Value Accelerator integration with Nvidia Dynamo for inference operations in multi-GPU environments.
The company also unveiled Purity Deep Reduce, a data reduction engine scheduled for H1 FY27, which utilizes “advanced pattern recognition and similarity-based reduction technologies.”
Security partnerships embed threat detection
Pure Storage announced partnerships aimed at embedding security capabilities directly into storage infrastructure. The company said traditional “bolt-on” security approaches that “exclude the storage platform” leave organizations vulnerable.
A partnership with CrowdStrike, available Q3 FY26, integrates CrowdStrike Threat-Graph with Pure Storage arrays for real-time threat detection. Connection to CrowdStrike Falcon Next-Gen SIEM automates incident response by taking “immediate action to automatically update policies, replicate, and isolate critical systems,” Pure Storage said.