The modern battlefield generates more information than any human can process, forcing a fundamental shift in how militaries organize their forces. For decades, defense innovation focused on building better sensors, more accurate weapons, and faster platforms. But today's real challenge is not detecting threats; it is understanding what those threats mean and responding in seconds, not minutes. This transition from platform-centric warfare to decision-centric warfare is reshaping the defense technology landscape, with a new generation of AI companies racing to embed decision-making capabilities directly into the systems operating at the tactical edge.

Why Are Militaries Struggling to Keep Up With Data?

The problem is straightforward but urgent. Modern battlefields are saturated with sensors, radars, and surveillance systems mounted on manned and unmanned platforms. Each generates a continuous stream of information. In many cases, a threat may already be detected by one of these sensors. However, detection alone no longer provides operational advantage. The real bottleneck is understanding the significance of that threat in real time and deciding how to respond.

Consider the scale of the challenge: where an operator once managed one or two unmanned systems, they may soon need to manage dozens or even hundreds. One platform becomes ten, ten become one hundred, and one hundred become one thousand. Each generates data and alerts that require attention. As the volume of information grows, so does the workload on operators and commanders. Yet human capacity to analyze, prioritize, and respond has not increased at the same rate. The result is a critical gap between the amount of information available and the ability to act on it quickly.

"Sensors have become more accurate, more available, and more widespread. At the same time, unmanned systems, autonomous platforms and complex sensor networks have dramatically increased the volume of information flowing to operational forces. Yet as the amount of information grows, so does the workload on operators and commanders. The human capacity to analyze, prioritize and respond has not increased at the same rate," explained Neri Zin, CEO of Axon Vision.

Neri Zin, CEO at Axon Vision

How Are Defense AI Companies Solving This Problem?

A new wave of defense technology firms is tackling this challenge by moving decision-making capabilities from centralized command centers to the tactical edge, where the action is happening. Companies like Anduril, Helsing, and Shield AI are redefining the relationship between software, autonomy, and military power by integrating sensors, autonomous systems, and weapons through artificial intelligence and advanced decision-making architectures.

The approach differs fundamentally from previous generations of defense software. Rather than focusing on individual platforms or command-and-control systems at headquarters, these companies are embedding situational awareness and decision-making directly into the systems operating at the tactical edge. The goal is to shorten the operational loop between perception, understanding, and action.

Axon Vision, for example, has developed what it calls a "Decision at the Edge" architecture built around a Perceive-Decide-Act (PDA) model. In the first stage, the system observes the environment and identifies relevant information. In the second stage, it analyzes that information, understands its significance, and prioritizes potential courses of action. In the third stage, it facilitates a rapid and accurate response. This architecture is integrated across sensing systems, processing engines, decision-making components, and effectors, allowing all system elements to function as a unified entity rather than as separate subsystems.

What Real-World Applications Are Already in Use?

These concepts are not theoretical. Axon Vision has deployed ForceField, an operational system designed to counter unmanned threats, including drones. In recent years, drones have evolved from basic intelligence-gathering tools into attack platforms present in almost every conflict zone worldwide. But detection alone is no longer the main challenge. The real challenge is determining in real time which detections represent genuine threats, which pose the greatest or most immediate risk, how they should be prioritized, and what response is required.

ForceField integrates sensing, artificial intelligence-powered decision-making, and threat neutralization into a single operational system. Rather than simply adding more information or routing every event to a control center, the system makes decisions at the point of action. This approach is essential in operational environments where communication is not always continuous, the electromagnetic environment may be disrupted or contested, and the decision window is measured in seconds.

Meanwhile, Anduril's Barracuda-500 autonomous air vehicle has been selected by the Air Force Armament Directorate and the Defense Innovation Unit (DIU) to advance to the next phase of the Enterprise Test Vehicle (ETV) prototype project. This joint program aims to create a highly producible, modular, and affordable air vehicle that will serve as the baseline architecture for large-scale production of next-generation airborne platforms.

The Barracuda-500 has already demonstrated significant autonomous capabilities. In September 2024, it executed a successful flight test that included pre-mission planning, vertical launch from a cell designed to emulate palletized employment from airlift aircraft, autonomous navigation and flight for over 30 minutes, successful capture of a GPS coordinate target identified in the Lattice software application, and autonomous terminal guidance to the target.

Steps to Understanding the Shift From Platform-Centric to Decision-Centric Warfare

• Recognize the Data Overload Problem: Modern sensors generate more information than humans can process in real time, creating a bottleneck that is no longer about detection capability but about decision speed and accuracy.
• Understand Edge Computing's Role: Rather than sending all data to a central command center, decision-making is being pushed to the tactical edge, where systems can understand and act on information in seconds without waiting for communication delays.
• See Autonomy as Decision Support: The new generation of defense AI is not about removing humans from decisions but about giving operators and commanders the ability to understand, prioritize, and respond to threats faster through integrated systems that combine perception, analysis, and action.
• Recognize Modularity as Strategic: Systems like the Barracuda-500 are being designed with modular architectures that allow rapid integration of new hardware and software capabilities as mission needs change, rather than requiring entirely new platforms.

The next phase of the ETV program will see the Barracuda-500 demonstrating autonomous teaming capabilities, additional proof of manufacturability, and the usefulness of the modular architecture that enables mission adaptability. Anduril will execute a series of flight tests that demonstrate collaborative autonomous capabilities, including simultaneous vertical launch of multiple Barracuda-500 systems, in-flight system-to-system communications, and the use of Lattice software during missions in contested environments.

Over the coming phase of the program, Anduril will also demonstrate how the Barracuda-500 adheres to a weapon open system architecture (WOSA) framework, which enables users to rapidly integrate modular hardware and software capabilities into the system as mission needs change.

"The world is transitioning from platform-centric warfare to decision-centric warfare. As a result, the future will favor systems that can understand, prioritize, and act with greater autonomy while maintaining an appropriate level of human control depending on the mission and the associated risks," stated Neri Zin.

Neri Zin, CEO at Axon Vision

This shift represents more than just a single product or system. It is part of a global transition where autonomous systems, sensors, and artificial intelligence are transforming decision-making processes on the battlefield. The competitive advantage is shifting from individual platforms to integrated operational systems, and from the ability to see to the ability to understand, decide, and act in real time. For militaries and defense contractors, the message is clear: the future belongs to those who can compress the time between perception and action.