NATO Intelligence Officer States AI Interoperability Standards Needed in Next Three Years

DENVER — Maj. Gen. Paul Lynch, a UK Royal Marine who directs NATO intelligence policy and serves as the alliance's deputy assistant secretary general for intelligence, stated that the growing use of artificial intelligence to enhance monitoring of adversary activities poses significant interoperability challenges for NATO.

Lynch delivered these remarks on Monday at the US Geospatial Intelligence Foundation’s annual GEOINT Symposium in Denver, according to Breaking Defense. He outlined the urgency, saying, 'We have decades of experience or common standards for air defense, maritime awareness, data formats.

Breaking Defense reported that Lynch described how AI-enabled exploitation for imagery analysis, change detection and multisource fusion is transforming capabilities, reducing the time from collection to actionable product and allowing analysts to focus on tasks requiring human judgment rather than pattern recognition at scale.

However, with NATO comprising 32 members, each responsible for developing their own policies, rules and regulations about AI usage and sharing those policies and products, governance challenges arise. In a hypothetical scenario presented by Lynch, two different NATO members each deploy a national AI model trained on their own imagery data set with that country’s labeling conventions and analytical priorities, resulting in conflicting intelligence reports provided to a NATO commander.

Lynch posed key questions: 'Which one does the commander use on what basis, with what confidence?

And I think that’s the AI interoperability challenge for allied GEOINT [geospatial intelligence], and no single nation is able to solve that alone. GEOINT primarily involves providing location and change detection data about human activities and natural phenomena such as wildfires, using satellite imagery, maps, and other types of data, as explained in the context of Lynch's remarks.

He noted that NATO is already grappling with incorporating vast amounts of GEOINT data from commercial satellite constellations into military and intelligence systems to promote member state interoperability.

Lynch stated, 'The problem is that our frameworks for incorporating commercial intelligence into allied decision cycles were built for a different world. He added sardonically that this sounded 'perfectly straightforward,' meaning it is not. Currently, commercial data enters NATO through intelligence systems mostly via exceptions and workarounds, not designed pathways, according to Lynch.

NATO signed its first commercial space strategy last June, and is now undertaking the unglamorous work to develop data use policies, security classification guides, contract frameworks, and releasability rules. The advent of AI complicates these efforts, Lynch explained, particularly as some member states such as the United States are already integrating AI processing to produce GEOINT, while other NATO member states are only just contemplating foundational questions about AI use.

To address these issues, Lynch stated that NATO needs data standards designed for the current world where commercial data, national data, and partner data, increasingly processed by AI, all contribute to the same operational picture.

This includes common meta-data schemes, common AI model documentation, and common interfaces that do not require bespoke integration every time a new partner or new source joins the enterprise.