This document summarizes a presentation on using information mining and configuration management databases (CMDBs) to identify architectural risks. It discusses using graph theory and network analysis concepts like centrality and density to analyze relationships between IT components in a CMDB. This can help identify areas of high change risk or issues for continuity. It provides examples of using these mathematical concepts on sample CMDB data to determine potential risks. Finally, it discusses tools like Pajek that can be used to visualize networks and perform calculations on CMDB data modeled as graphs.