The application of this technology enables predictive analysis and simulations that make operations more agile and efficient
Air Force Agency – Aerospace Operations Command, Col Pedra and Lt Vieira
The Brazilian Air Force (FAB) has always been at the forefront of technological innovation, and the Aerospace Operations Command (COMAE) is an example of this visionary stance. As well as being the FAB’s operational employment command, COMAE is also the central body of the Brazilian Aerospace Defense System (SISDABRA).
In this context, the introduction of Artificial Intelligence (AI) into its operations in 2024 represents a historic milestone in the advancement of decision-making capacity at the strategic, operational and tactical levels.
Currently, COMAE’s Joint Aerospace Operations Center (CCOA), which is directly responsible for planning and conducting aerospace operations in the FAB, stands out as a pioneer in implementing AI in its daily activities.
The aim of adopting the technology is to improve the agency’s internal processes, both in operational and administrative support activities, facilitating analysis, the reorientation of current guidelines and risk management.
This technological innovation not only optimizes the FAB’s ability to respond quickly and efficiently, but also raises the level of efficiency and savings in human and material resources in the various military operations underway.
AI and Machine Learning (ML) in the CCOA
The application of AI in the CCOA aims to exploit the full potential of advanced techniques, such as Generative Intelligence and Machine Learning (ML), to improve the planning and execution of aerospace operations.
These tools enable predictive analysis and simulations that make operations more agile and efficient, excelling in areas such as mission planning and resource allocation.
Specific applications include the use of AI to optimize Command and Control (C2) processes in critical missions. One example is in supporting the management of air activity itself, in which machine learning algorithms will assist in planning the distribution of air missions, as well as the allocation of aircraft, ensuring that the available resources are maximized.
With regard to Intelligence, Surveillance and Reconnaissance (IVR) operations, AI plays a central role. Advanced sensors integrated with AI systems help process large volumes of data captured during missions, identifying patterns and anomalies that may be critical to national security.
“The concern to maintain the constant protection of our database is a priority both for its integrity and because of the control needed to learn the tool and generate new information,” said the Deputy Chief of the CCOA, Colonel Leonardo Venancio Mangrich. He went on to say about concerns about the legitimacy of innovations: “Transparency must be preserved throughout the process, since the outputs created must be timely, reliable and subject to human verification at any time, and always in the light of the ethical and moral values that govern our Force.”
The Future of AI in COMAE
The integration of AI into CCOA operations will not be limited to optimizing existing processes; it will also pave the way for future innovations. One of these innovations will be the development of autonomous decision support systems, which will be able, for example, to carry out real-time simulations of different operational scenarios, providing commanders with detailed information and data-based options for action. This will directly contribute to faster and more assertive decision-making.
In addition, AI systems can be used for predictive maintenance of equipment that is essential for the functioning of Command and Control Systems (C2). Algorithms will analyze data from sensors in aircraft and ground systems, identifying patterns that indicate potential failures. This will allow teams to carry out preventive maintenance, avoiding unplanned downtime and increasing operational readiness.
According to the Head of the CCOA’s Current Operations Division, Colonel Murilo Grassi Salvatti, one of the most critical and sensitive processes in the planning and employment of aerospace military power is related to the selection of weapons and the sizing of the force. This involves using weapons systems with maximum efficiency and at the lowest possible cost.
“Artificial Intelligence (AI) will be able to point out the best path in this planning, allowing for the optimization of resources and the saving of means, while at the same time guaranteeing greater effectiveness in operations,” emphasized the officer.
In this way, the FAB will not only expand its rapid response capabilities, but will also maintain the aegis necessary to fulfill its mission.
The path of technological innovation must be paved with attention to good safety and ethical practices. By maintaining data integrity and ensuring that AI operates to a virtuous standard, the FAB is demonstrating that it is ready to face the challenges of the future, while remaining at the forefront of safety and operational efficiency.
By adopting AI and Machine Learning (ML) technologies, COMAE is writing a new chapter in the history of national defense. This digital innovation demonstrates the FAB’s commitment to adapting to the technological vanguard in order to maintain airspace sovereignty and integrate the national territory, with a view to defending the homeland.