A method for cross-bore risk management involves receiving at least one dataset comprising a plurality of assets and cross-bore data. A risk probability value is calculated, using a processor, based on the cross-bore data for each asset of the plurality of assets using machine learning techniques. The risk probability values are spatially distributed around each respective asset. A graphical output is produced that illustrates the risk probability for a specified geographical area based on the spatially distributed risk probability values.