How NATO can turn data into defense advantage

Data is redefining modern defense operations. The ability to master and manage it is now a decisive factor in military victory or defeat. Few people know that better than Jean Charles Ellermann-Kingombe, assistant secretary general for cyber and digital transformation at NATO.

George Teas, vice president of solutions architecture, Elastic

In a recent interview preceding NATO Edge 26, the Alliance’s annual defense innovation show, Ellermann-Kingombe is very clear on the kind of digital transformation effort it takes to get the right data into the hands of military leaders operating in high-pressure situations, at exactly the time and place they need it.

Data-sharing must be a core design principle, he says: “The bottleneck is often not technology, but permission: classification boundaries, national rules and trust decisions.” Once data is well managed, an even bigger opportunity arises to use AI as “an enabler of military effectiveness,” he says, assisting commanders and operators further.

He adds: “For NATO, the biggest difference AI can make is in decision advantage. Modern operations generate volumes of data that no human organisation can process unaided at the speed required. AI can help fuse information, detect patterns, support planning, prioritise scarce resources and accelerate staff processes, providing commanders with better insight, earlier warnings and more resilient options.”

As powerful as it is, AI can only reliably accelerate defense mission outcomes if it is built on vast, relevant and quality data. Data is the fuel that will power the shift to software-defined defense, an approach that delivers military capability through flexible, modular software rather than rigid, hardware-bound platforms.

THE CHALLENGES OF MASTERING DATA

Software-defined defense, AI and the challenge of mastering the data that powers both, will be hot topics for attendees at NATO Edge 26, due to be held in Izmir, Türkiye, in November and expected to attract over 3,000 participants and more than 270 technology partners, including Elastic.

We will be there because we know that many attendees will be looking to better understand what software-defined defense will demand of them in data management terms.

As powerful as it is, AI can only reliably accelerate defense mission outcomes if it is built on vast, relevant and quality data. Data is the fuel that will power the shift to software-defined defense.

Bringing data together from many intelligent systems and smart devices demands real rigor. After all, in order to make critical operational decisions, military personnel need to be able to see the big picture, quickly searching for information in both structured and unstructured data formats across a vast array of different systems.

Defense data naturally lives wherever operations happen — across land, sea, air, space and cyber domains — and is stored in different formats like images, audio transcripts, documents and geospatial, reaching across thousands of different mission systems.

These can include communications systems that keep troops connected in the field; systems used to manage artillery devices; reconnaissance systems; radar stations; and geographical information systems that support military leaders in tracking assets, planning missions and routes, and analyzing risks and threats, including potential ambush sites and minefields.

In order to make critical operational decisions, military personnel need to be able to see the big picture, quickly searching for information in both structured and unstructured data formats across a vast array of different systems.

On top of all this, organizations like NATO face an additional layer of complexity. Building a common operational picture across the digital environments of 32 member nations requires multi-intelligence fusion of massive volumes of data held in disparate systems, from legacy databases and classified networks to cloud platforms and security tools.

OPERATIONAL ADVANTAGE

Addressing these challenges means turning all this data into operational advantage and mission readiness, accelerating the ability of armed forces to respond to situations by increasing their situational awareness and decision speed.

The answer is a data mesh architecture. Rather than consolidating everything into a traditional data lake, a data mesh approach manages data where it originates and lives, without moving or duplicating it; so it can be searched, queried and analyzed from multiple access points across the entire environment, including allied partners such as NATO member nations. That is what turns scattered data into one unified operational picture with near real-time insights, and context, giving commanders the situational awareness and decision speed that mission-readiness depends on. In my view, it is the most flexible and scalable way to get there.

It also speaks directly to the permission bottleneck Ellermann-Kingombe describes. Because data stays under the control of the nation or system that owns it, access can be governed by policy at the source, with classification boundaries and national rules enforced where the data lives rather than negotiated away in a central repository.

Rather than consolidating everything into a traditional data lake, a data mesh approach manages data where it originates and lives, without moving or duplicating it.

A data mesh approach is sustainable because of its reliance on open standards. They enable defense organizations to connect systems that were never designed to work together, from legacy platforms to dispersed infrastructure, so data stays findable and can be effectively analyzed across the environment. Interoperability stops being a barrier as new partners and data sources join, and new tools can be integrated without rebuilding systems or making major investments. The architecture scales alongside the Alliance’s growth.

Without a unified view, the risk of losing operational advantage to adversaries extends from the battlefield into cyberspace. Zero Trust depends on connecting authentication logs, network traffic and application telemetry where they already sit, so that traditionally separate domains can be visualized and analyzed together. When a user accesses sensitive data, the system must verify not only who they are but also their device status, network path, and the time and location of access. If those checks are slow or impossible, threats can remain undetected and escalate through systems. A data mesh built on open standards connects the pillars of a Zero Trust architecture, allowing organizations to accelerate implementation without replacing the tools they already have.

When the manual efforts of military data analysts struggle to keep pace with the scale and speed of events on the ground, AI can work faster and more accurately.

The same logic is already visible in large government organizations: CISA’s new SIEM-as-a-Service platform uses open standards to give US federal civilian agencies a consistent approach to threat detection and response.

As AI’s value in supporting human decision-making becomes increasingly clear, a data mesh architecture provides the foundation to apply agentic AI capabilities holistically. It enables complex organizations to analyze the vast amounts of data their systems generate, find actionable correlations and separate signals from noise. When the manual efforts of military data analysts struggle to keep pace with the scale and speed of events on the ground, AI can work faster and more accurately. It also lets analysts ask questions across structured and unstructured data and rapidly receive answers grounded in reliable sources.

The numerous tech challenges facing the modern military calls for closer NATO-industry cooperation, and that’s why NATO Edge 26 is such an important event. All 32 sovereign member states that make up the Alliance use different systems, yet they rely on secure, trusted data-sharing with each other as the foundation for cooperating on military operations and sharing intelligence. It’s vital that they can turn to industry innovators to support their operational needs.

At a time of great geopolitical uncertainty, with data increasingly considered a primary defense asset, NATO members face growing pressure to turn it into operational advantage and readiness before adversaries do. We look forward to discussing how at NATO Edge 26.

Disclaimer

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The advertisement relates to NATO defence and digital policy and advocates for greater use of data-sharing, AI, interoperable systems and industry cooperation to strengthen military readiness and operational effectiveness.

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