The number of financial risk models is rising dramatically, 10%-25 % annually at large institutions—as banks utilize models for an ever-widening scope of decision making. Machine Learning Models are being created with advanced-analytics techniques, to achieve higher performance standards, Yet, remains opaque and unexplainable to the end-user. By reducing the opacity of the Blackbox models, we provide an explainable glimpse of the model. This in itself is not enough; we also combine a Novelty Detection system, which adds a secure layer to the model and can detect an anomaly case. In this manner, one can utilize a complex model, have a better understanding of it whilst staying safe from unpredictable occasions. Our Core-Team were chosen from Elite technology and combat Units. The team has an accumulative programming time of more than 50 years. Specialists in Data integration, Data Sciences, Mathematics, Physics, Finance and Psychology.