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The classic defense methods employed throughout the world in recent decades are proving unsuccessful in halting modern malware attacks that exploit unknown (and therefore still unsolved) security breaches called “zero-day vulnerabilities.” This article proposes an up-to-date approach, based on an analysis of sensitive information that must be protected, for the purpose of identifying anomalous behavior. The article further proposes relying on the data to be protected as a source of knowledge for developing the defense system. An analytical analysis of massive data (big data analytics) will make it possible to identify such malware, while constructing a model that will provide a high degree of reliability in identifying and minimizing false positives, which pose a challenge to every defense system.