Mississippi Department of Revenue balances cloud modernization with security-first AI adoption
Public sector organizations are increasingly rethinking how they manage critical infrastructure as demands for always-on digital services and greater operational efficiency continue to grow. As government AI adoption accelerates alongside advances in cloud-native platforms, IT teams are modernizing legacy environments while maintaining security and public trust. Organizations are taking a measured approach to AI, recognizing [...
Key Takeaways
- Government AI adoption is driving public-sector IT modernization, with agencies embracing cloud-native infrastructure and AI guardrails.
- "We're using that to help onboard some of our earlier engineers to bring them to a more advanced kind of way to work with some of the big infrastructure that we have to work with.
" Dehaan spoke with theCUBE's Christophe Bertrand and Alison Kosik at the Pure Accelerate 2026 event, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio.
- "It's a way for us to define standards for how we want to support our workloads with things like snapshot replication, immutable snapshots on those workloads, and how we provision it," Dehaan said.
"In a sort of prepackaged way, that I can hand that off to some of our newer people that haven't worked with some of the larger systems before, and they can comfortably and confidently roll that out to service our taxpayers.
- "For those workloads we have deployed in the cloud, they can go on that same platform to the cloud as we will run our on-prem workloads on.
It gives us fungibility to more effectively leverage taxpayer dollars with how we host our services.
- 15M+ viewers of theCUBE videos , powering conversations across AI, cloud, cybersecurity and more 11.
Stats & Key Facts
- #UPDATED 00:44 EDT / JUNE 20 2026 AI Mississippi Department of Revenue balances cloud modernization with security-first AI adoption by Ryan Stevens Public sector organizations are increasingly rethinking how they manage critical infrastructure as demands for always-on digital services and greater operational efficiency continue to grow.
- #Mississippi has since moved to OpenShift with Portworx as its hypervisor hosting platform, achieving an 1,800% increase in storage requirements without disruption while reducing its server footprint, Dehaan noted.
Government AI adoption is driving public-sector IT modernization, with agencies embracing cloud-native infrastructure and AI guardrails. UPDATED 00:44 EDT / JUNE 20 2026 AI Mississippi Department of Revenue balances cloud modernization with security-first AI adoption by Ryan Stevens Public sector organizations are increasingly rethinking how they manage critical infrastructure as demands for always-on digital services and greater operational efficiency continue to grow. As government AI adoption accelerates alongside advances in cloud-native platforms, IT teams are modernizing legacy environments while maintaining security and public trust.
Organizations are taking a measured approach to AI, recognizing that the data they manage is not theirs to casually experiment with or potentially expose. The focus is on finding ways to create value from that data while being careful not to introduce unnecessary security risk, according to Mike Dehaan (pictured), chief technology officer of the Mississippi Department of Revenue. "We're really highlighting AI for our service delivery tools on our infrastructure side right now," Dehaan said.
"We're using that to help onboard some of our earlier engineers to bring them to a more advanced kind of way to work with some of the big infrastructure that we have to work with. " Dehaan spoke with theCUBE's Christophe Bertrand and Alison Kosik at the Pure Accelerate 2026 event, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed strategies for building cloud-ready infrastructure and taking a security-first approach to government AI adoption.
For more details please read the original article at SiliconANGLE AI.
Continue Learning
Comments
Sign in to join the conversation