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Just as there are two sides to every coin, there are two schools of thought in risk management. One camp believes that there is never enough data to make statistically significant risk decisions, due to the unknown-unknowns and never really knowing the entire population of data breaches. Another camp believes that we have well detailed information about specific domains and using Bayesian math we can come to conclusions on how to manage risk. Regardless of the group or believe in risk management the fact is that we all manage risk. This session will discuss the two camps and propose a hybrid model that goes beyond technical details into the core of trusted knowledge relationships.