Abstract: Log based analysis systems and methods for protecting computers and networks from malicious communications and malware attacks by analyzing log data obtained from client networks having network entities representing business units or customers. The system may further comprise a plurality of client asset machines, each operable to execute a security product associated with a security product vendor and log associated information of the network entities into at least one log file. The log files may be uploaded onto a log-analytics detection platform for analysis using learning algorithms operable to generate a risk factor attribute for at least one entity.

Abstract: Systems and methods for protecting at least one client from becoming part of at least one botnet. The system may comprise virtual machines deliberately infected with malicious content and operable to record botnet communications to and from criminal servers. The virtual machines are in communication with a processing unit configured to index data collected. Data related to the prevalence of cyber threats may be presented to users in response to queries.