This paper discusses the reality of the state-of-theartof existing information security systems that often providesenseless functions based on “buzz-words”. It points out real-liferequirements that these systems tend to ignore. It proposes thatdynamically changing understandable use cases should becreated in collaboration with corporate management to addressobjectives that are essential for the businesses. Big data analyticmethodologies should be utilized to assist the design of efficientimplementations of these use cases. Big data approaches shouldalso be used for heuristic detection of unknown attacks andanomalies, for data enrichment, and for post-hoc forensicanalysis. The main goal for information security systems that areusable in real-life should be that corporate decision makers areonly provided trustworthy and actionable insights that arerelevant to the business and provided services.