Case Study: Leonardo achieves faster threat identification with Faculty’s AI solution

Leonardo improves threat detection with Faculty

Leonardo, a major European defence company, faced a challenge in electronic warfare as the increasingly congested spectrum and advanced radar concealment techniques made it difficult to identify potential threats using traditional methods. They partnered with Faculty to explore whether machine learning could succeed where these older methods were falling short.

Faculty developed novel machine learning models inspired by advancements in fields like audio to distinguish signals from noise and identify their source, even for new or rarely seen signals. The solution provided a significant performance boost, proving highly accurate at quickly identifying threats and remaining robust against adversary concealment efforts, which was a substantial improvement over previous methods.

Leonardo