A new approach is proposed to support generating and presenting to a user cyber attack monetary impact estimation of a current or future cyber attack, which is used to stop monetary losses or to mitigate monetary impacts. First, both historic data and real time data on monetary impact of current and/or potential cyber attacks is continuously collected from a plurality of data pools. The collected data is then synchronized, correlated and filtered/cleansed once the data is available to create fidelity among the data from the plurality of data pools. The cyber attack monetary impact is calculated based on the correlated and cleansed data, and is presented to the user along with one or more suggested applications by the user in response to the cyber attack monetary impact, to mitigate the monetary impact of the current or future cyber attack.