Public Use Cases in Defense, Security & Cyber Security
Our Use Cases present the results of XTRACTIS modeling and include complete Benchmarks against Neural Networks, Boosted Trees, Random Forests, and Logistic Regression.
These studies illustrate the ability of XTRACTIS to automatically induce knowledge in the form of predictive and intelligible mathematical relationships from real-world data (public data or authorized private data).
For each application, we show how the induced décision system uses its fuzzy rules to compute explained predictions for new situations, i.e. unknown to the learning data set.
UC#23 - Released: Feb. 2024
UC#16 - Released: Mar. 2023 | Updated: Feb. 2024
UC#11 - Released: Jan. 2023 | Updated: Feb. 2024
Design an AI-based decision system that accurately and instantly identifies a type of invading Unmanned Aerial Vehicle (UAV) in a civilian environment, based on Wi-Fi traffic data records, to take appropriate action based on a rational decision.
UC#10 - Released: Jan. 2023 | Updated: Feb. 2024
Design an AI-based decision system that accurately detects an intrusion on a computer network and instantly identifies the type of attack from features of the connection logs, to execute the appropriate action based on a rational decision.
UC#09 - Released: Oct. 2022 | Updated: Feb. 2024
Design an AI-based decision system that accurately and instantly detects underwater mines from sonar echoes to equip vessels, submarines, and drones with a detector making rational and explainable and automated decisions.
UC#07- Released: Oct. 2022 | Updated: Feb. 2024
Design an AI-based decision system that accurately and instantly diagnoses an intrusion on a computer network from features of the connection logs, to execute the appropriate action based on a rational decision.
