In early April, federal cybersecurity leaders gathered in Washington, D.C., for the Federal Cybersecurity Executive Summit, hosted by Optiv + Clearshark. One of the most pressing challenges agencies currently face is operationalizing AI securely while moving enormous amounts of sensitive data across complex, hybrid environments.
After the summit, Tu McLendon, Channel Senior Systems Engineer U.S. — Federal at Nutanix, shared his insights and perspective on what these conversations reveal about the path forward. Our discussion highlighted key themes that are reshaping how agencies approach security and modernization.
Clarity Before Modernization
The majority of federal agencies have data dispersed across multiple locations, including cloud environments, edge locations and on-premise data centers, but many do not have a clear picture of what they’re storing and how it’s being protected. This isn’t a knowledge gap; it’s an execution challenge.
As McLendon pointed out, “most organizations don’t know how much data they have, where it all sits, and if it’s even being monitored or properly secured.” Agencies that prioritize accurate data discovery and classification are the ones that are making progress. They establish clear guidance and operational procedures around what they are doing with their data, how they’re managing it, and how they’re actually able to have visibility and audit it.
Getting clear on what you have is a prerequisite for everything else.
Modernize Without Disruption
Federal leaders want to advance their infrastructure capabilities while also maintaining stability for operations that are vital to the mission. The good news is that both can be done simultaneously without disruption.
Rather than maintaining separate platforms for legacy and modern workloads, McLendon explained that agencies can run their applications in traditional infrastructure with virtualization, and when they are ready to modernize, they can do so without changing the platform.
Using a single, unified platform, this approach allows agencies to support modern containerized applications and legacy virtualized workloads. It eliminates disruptions that typically come with modernization efforts and means consistent operational procedures and security controls across environments.
Let AI Deliver Where It Matters Most
When agencies refer to “real-time visibility” and “machine-speed operations,” what they really mean is the ability to process data faster than manual methods allow, and that’s where AI adds immediate value.
McLendon explained that “AI gives you the ability to do that very quickly instead of a manual process.” The payoff is speed and efficiency, whether it’s automating data classification, accelerating incident response, or using retrieval-augmented generation to analyze documentation instantly. Agencies should begin to deploy AI responsibly where the benefits are clearest, rather than waiting for it to be perfect.
Collaboration Over Competition
The most encouraging signal from the summit was the fact that federal leaders aren’t looking for a single vendor to solve all their problems; they are looking for collaborative partners.
McLendon noted that the summit “wasn’t about competition against different vendors in the industry … it was a collective collaboration.” This shift is significant because security cannot be solved by one organization or solution. He emphasized that security should be a “part of the design process of any organization’s infrastructure, their applications, their data,” and it requires a “layered approach … defense in depth.”
The most effective strategies emerge when agencies and vendors collaborate openly and are willing to adapt together as capabilities continue to evolve.