Application-System Data Profiler
Targets Attack Vectors Inside Your Network
DeepSentry ingests data like application logs, service logs, statuses of active processes, network usage statistics, disk usage statistics, web login attempts, actual binary dumps of your software, etc. into an application-system data profiler that performs application-level data profiling and system-level data profiling in real-time to create a complete picture of your endpoints.
Machine data is transformed into fuzzy clusters glued together with logic of modality that determines distribution, commutation, importation, exportation, and isolation — the kind of logic used in root cause analysis time-proven to be effective in incident remediation. It generates relevant contexts and determines past similarities to target possible attack vectors which hackers, exploits and malware, depend on inside your network to launch their attacks.