Two ML/DL frameworks (H2O.ai and TensorFlow) for data analytics and prediction.
This solution focuses on approaches and algorithms used to predict security incidents and attacks against critical infrastructures of the financial sector. It leverages heterogeneous data collected from physical and logical parts of the infrastructure, along with Big Data infrastructures and predictive analytics algorithms. Its implementation is based on state of the art infrastructures and frameworks for machine learning and deep learning such as H2O.ai and TensorFlow.
The innovation of the solution lies in its ability to predict security indicators, such as vulnerabilities and threats. When properly configured and deployed it can therefore enable organizations to increase their security preparedness and to deal with abnormal or even unexpected attack situations.