Military Course Of Action
Current planning methods were built for a slower, more predictable fight
Military planning processes have traditionally relied on deliberate, human-led workflows. Assess the situation. Generate options. Evaluate risks. Make decisions. These methods have been effective in past operating environments but are increasingly mismatched to the speed and complexity of modern threats. Commanders today operate in environments where the volume of data, rate of change, and adversary use of automation demand faster and more adaptive decision tools.
Command Ops Support
Communication Systems
/ THE PROBLEM /
The current approach to COA planning is no longer fast or flexible enough.
/ OUR SOLUTIONS /
What’s needed is a system that adapts as fast as the fight evolves.
Deca Defense provides a COA analysis platform that integrates real-time ISR processing, adversary behavior modeling, and logistics-aware risk assessment. The system enables commanders and planners to update COA options continuously as inputs change. No need to reinitiate full planning cycles.
ISR and Intelligence Processing
The system uses computer vision to detect force movements and anomalies in imagery and video data. NLP tools extract structured insights from SIGINT, HUMINT, and open-source streams. Bayesian models update probabilistic risk scores as intelligence inputs change. This enables dynamic reassessment of COA viability.
Adversary Modeling and Simulation
Reinforcement learning models simulate adversaries that adapt to Blue force decisions. Monte Carlo simulations stress test proposed COAs against varied operational conditions. Simulations include air, land, and maritime assets to reflect realistic joint-force constraints.
Logistics and EW Risk Evaluation
The system models logistical feasibility under operational stress, factoring in resupply constraints and attrition. Electronic warfare models assess how COAs are affected by adversary jamming, spoofing, and signal loss. Results are displayed in a command dashboard that updates in real time as new data is processed.
/ TECHNICAL DEEPDIVE /
Here’s how the system works
ISR and Intelligence Processing
Computer vision tools are applied to ISR feeds from UAVs, satellites, and sensors to detect object movement and force signatures. These detections are flagged for human review and integrated into an operational picture. NLP is used to extract structured intelligence from unstructured reports, communications intercepts, and open-source materials. Bayesian inference models assign confidence scores and update them continuously as new intelligence arrives. This supports incremental updates to risk assumptions within COA frameworks.
Adversary Modeling and Simulation
Reinforcement learning is used to generate adversary behavior that evolves based on historical Blue force actions. This allows the simulation to explore how an opponent might adapt over time. Monte Carlo methods are used to evaluate COAs across a range of uncertain conditions. Multi-agent simulation frameworks model how air, ground, and maritime elements coordinate in engagements. This supports evaluation of COA feasibility across domains.
Logistics and EW Risk Evaluation
Each COA is assessed for viability under contested logistics conditions. The model considers transportation timelines, resupply dependencies, and vulnerability to interdiction. The system evaluates how susceptible each COA is to electronic warfare. This includes disruption to command-and-control, spoofed positioning, and signal degradation. These assessments are integrated into a dashboard that provides decision-makers with a current list of viable options based on the latest inputs.