Breaking cybersecurity silos: Enabling defence data collaboration

The modern cyber battlefield doesn't respect organisational boundaries. Across defence networks, critical structured, unstructured, and semi-structured data sits distributed and siloed in specialised environments — from classified intelligence systems to operational command platforms and tactical edge devices to headquarters. In the public sector, for example, 65% of leaders struggle to use data continuously in real time and at scale, according to a recent Elastic study.
The defence establishment faces just such challenges, and the growth in the volume of security data generated across multi-domain operations isn’t slowing. When threats move at machine speed across networks, human analysts need to collaborate effectively across interoperable, if disparate, systems. The need is to improve visibility into individual domains and enable genuine collaboration across them, without compromising security or operational control.
Achieve interoperability without centralising sensitive data
Defence data naturally lives wherever operations happen — across land, sea, air, space, and cyber domains. In classified environments, operational data exists on tactical networks, while logistics information is stored in enterprise systems, each with its own classification level, access protocols, and specialised formats. Traditionally, centralising data or establishing manual work-arounds meant moving all this data to a central repository — a time-consuming, costly, and risky approach that often degraded data relevance and created single points of failure.
But today, you can achieve interoperability: the ability to integrate, share, and analyse data across diverse systems, formats, and environments without requiring costly migrations or disruptive overhauls. The Ministry of Defence (MOD) can securely connect siloed systems (legacy databases, classified networks, cloud platforms, or NATO partner systems) and unify search, analytics, and threat detection workflows. This kind of interoperability demands a different approach to data management and access across networks: a data mesh.

Rather than centralising data — and wrestling with all the challenges of that approach — a data mesh instead embraces a distributed model built on four principles:
Domain ownership ensures that the teams most familiar with the data maintain responsibility for it.
Data as a product means information is well documented and accessible to authorised users.
Self-service platforms enable teams to discover and use data without IT bottlenecks.
Federated governance ensures security and compliance across the entire ecosystem.
Cross-cluster search is a key feature in Elastic’s data mesh approach, allowing teams to search across distributed environments without moving data. Analysts can execute a single query that securely retrieves results from multiple sources while respecting data access controls. This approach eliminates expensive data duplication across systems and offers up to 90% productivity improvements in IT operations. Unlike traditional approaches that simply forward queries to disparate systems, cross-cluster search provides a unified indexing layer: Data is indexed once and then available to any authorised user. This eliminates performance bottlenecks and inconsistent security models that plague other approaches, creating faster collaboration with stronger security. Data owners maintain control of their assets.
Transform operational data into decision advantage
For MOD leadership, the transition from continuous risk to informed confidence begins when operational data becomes truly accessible across organisational boundaries. Elastic’s Search AI Platform serves as this connective tissue, respecting data sovereignty while enabling the comprehensive visibility that modern defence demands. The advantage is in how quickly data transforms into action. When a threat emerges, the difference between detection and effective response often depends on how efficiently intelligence flows between teams. Cross-cluster capabilities collapse these timelines from days to minutes, creating decision advantage when it matters most.
In a time when information superiority translates to operational efficiency (even operational success), the force multiplier effect comes from empowering every level of the organisation with the right information at the right time. Elastic provides a foundation that enables collaboration, control, and the resilience necessary to maintain an advantage in digital battlespaces. It does this while typically delivering demonstrable value within six months of implementation rather than the years-long timelines common to many defence IT projects.
Dive deeper: Discover how AI, open standards, and a unified data layer drive efficiency and reduce complexity in defence cybersecurity. Register for Mission advantage: Strategic conversations with defence leaders — a virtual series featuring key insights from top industry experts.
Explore additional resources:
Using Elastic as a global data mesh: Unify data access with security, governance, and policy
Understanding data mesh in the public sector: Pillars, architecture, and examples
5 insights from public sector leaders: Solving organizational challenges with data and AI
The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.