Building the Network of Now: A Practical Guide to Defense Network Modernization
The answer isn’t ripping and replacing everything—it’s creating what I call the “Network of Now” through intelligent, incremental modernization.
The Current Reality Check
Let’s be honest about where we are. Critical defense systems still in use are written in COBOL or FORTRAN, and operating decades-old hardware remains a critical aspect of overall defense operations. Meanwhile, we’re trying to deploy AI/ML capabilities for missile defense and integrate space-based sensors that generate terabytes of data per second. It’s like trying to stream 4K video through a dial-up modem.
The traditional approach—complete system replacement—isn’t just expensive; it’s dangerous. These legacy systems work. They’re battle-tested. What we need is a bridge between what we have and what we need.
Step 1: Embrace Hybrid Architecture (Not Replacement)
The Strategy: Create abstraction layers that enable old and new systems to communicate without requiring wholesale replacement.
Why This Works: Financial services faced this exact challenge. Banks still run COBOL systems that process trillions of transactions, yet they offer mobile apps with real-time AI fraud detection. They achieved this through API gateways and microservices that wrap legacy functionality in modern interfaces.
For defense, this means creating a “Legacy Integration Office” within each Program Executive Office. These teams would develop standard APIs that expose legacy system data without touching the core code. Think of it as putting a universal translator between systems speaking different languages.
The Reasoning: Risk mitigation. By keeping stable legacy systems running while adding modern capabilities around them, we maintain operational continuity while gaining new functionality. It’s evolution, not revolution.
Step 2: Liberate the Data First
The Strategy: Before modernizing systems, modernize data access. Extract information from legacy silos into modern data lakes where AI/ML can use it.
Why This Works: Data is the ammunition for modern warfare. A missile defense system needs to correlate information from hundreds of sensors in milliseconds. If that data is locked in COBOL systems accessible only through batch processes, we’ve already lost.
The approach is straightforward: build extraction pipelines that continuously copy data from legacy systems into modern repositories. The legacy systems continue to run unchanged, but their data is now available for advanced analytics.
The Reasoning: Data liberation is a low-risk, high-reward approach. It doesn’t require changing operational systems, yet it enables transformational capabilities. It’s like installing a window in a bunker—you don’t compromise the structure, but suddenly you can see outside.
Step 3: Overlay Modern Networks (Don’t Replace Infrastructure)
The Strategy: Use software-defined networking to create virtual modern networks on top of existing infrastructure.
Why This Works: Telecommunications providers faced similar challenges transitioning from circuit-switched to packet-switched networks. They couldn’t replace everything overnight, so they built overlay networks that gradually took over traffic.
For the DoD, this means implementing dual-stack operations that support both IPv4 and IPv6, deploying translation gateways at network edges, and utilizing Software-Defined Networking (SDN) to create flexible, programmable networks regardless of the underlying hardware.
The Reasoning: Network infrastructure is expensive and mission-critical. By overlaying modern capabilities, we can achieve next-generation functionality without the risk and cost of physical replacement. It’s like adding express lanes to an existing highway rather than building an entirely new road.
Step 4: Deploy AI/ML as a Force Multiplier (Not a Replacement)
The Strategy: Implement AI/ML capabilities as “sidecar” services that augment human decision-making rather than replacing existing systems.
Why This Works: The most successful AI implementations enhance rather than replace. Consider how Tesla’s autopilot assists drivers rather than replacing them. For defense applications, AI should provide decision support, pattern recognition, and predictive analytics while humans retain ultimate control.
Start with non-critical applications, such as predictive maintenance, and progress to logistics optimization. Then, carefully move into operational support. Each step builds confidence and capability.
The Reasoning: Trust is earned incrementally. By demonstrating AI’s value in low-risk areas first, we establish the organizational confidence necessary for mission-critical applications. It also allows us to develop the human-machine teaming skills essential for future warfare.
Step 5: Reform Acquisition to Incentivize Modernization
The Strategy: Develop new contract vehicles that reward incremental improvements and facilitate continuous modernization.
Why This Works: Traditional defense contracts assume a fixed end-state. But modernization is a journey, not a destination. We need “Modernization as a Service” contracts that pay for outcomes—reduced latency, increased availability, improved security—rather than specific technologies.
Include provisions for sole-source bridges during transitions, rapid acquisition for integration tools, and shared savings models where contractors benefit from the efficiency improvements they create.
The Reasoning: Current acquisition regulations were designed for hardware procurement, not software evolution. By aligning incentives with modernization goals, we motivate the industry to invest in creative solutions rather than protecting incumbent positions.
Step 6: Organize for Success
The Strategy: Create dedicated modernization leadership with real authority and budget control.
Why This Works: Modernization efforts typically fail due to organizational antibodies—the people and processes that resist change. By establishing a Chief Modernization Officer with budget authority and creating cross-functional teams, we ensure a sustained focus and allocation of resources.
Equally important is workforce development. The weapon systems based on either COBOL or FORTRAN aren’t just obsolete—they are also poorly documented. Partner with modern developers to capture that knowledge while building new systems.
The Reasoning: Technology problems are people’s problems. Success requires changing culture, incentives, and organizational structures. Without this human element, even the best technical solutions will fail.
The Path Forward: Start Now, Start Small, Scale Fast
The Network of Now isn’t about having the newest technology everywhere—it’s about making our current capabilities work together while building tomorrow’s foundation. Every day, we delay makes the challenge harder and our adversaries stronger.
Start with pilot programs that demonstrate value. Pick a single critical system and show how modern integration can enhance its capabilities without replacement. Use that success to build momentum for broader initiatives.
The Golden Dome missile defense system exemplifies why this matters. We can’t wait for perfect infrastructure to defend against hypersonic threats. We need to leverage what we have while building what we need. That’s the essence of the Network of Now—pragmatic modernization that delivers capability today while preparing for tomorrow.
The question isn’t whether to modernize—it’s how to modernize intelligently. By following this roadmap, we can transform defense networks from liability to advantage, ensuring our warfighters have the tools they need when they need them.
June 15, 2025
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