An individual organization’s internal loss history may lack sufficient data points to model low-frequency, high-impact tail risks accurately. To address this data gap, institutions integrate shared industry data from external loss consortiums, such as the Operational Riskdata eXchange (ORX).

[Internal Loss Data Store] + [Consortium Anonymized Logs] ---> [Integrated Scenario Modelling Engine]

External consortium data is anonymized and scaled to reflect differences in corporate size and transaction volume before being integrated into internal risk assessments. This benchmarking process allows organizations to evaluate vulnerabilities based on actual failures experienced by industry peers, helping the firm implement preventative controls before experiencing a similar incident internally.