Fidelis Collector

Data Sheet


Content and context are critical for post breach detection and response of advanced threats and data theft or loss. Metadata is the DNA for security analysts and services to drive cross-session analysis, multi-faceted and behavior analysis. Structured and enhanced metadata are also the basis for machine learning models within specific use cases. Metadata is information about other information resulting in 90 percent of the data for about 20 percent of the expense to store it. Imagine having 10,000 recorded phone calls – you could listen to them tirelessly to learn details, however, even better would be metadata about the phone calls, including specific tags about the content and context to quickly query and investigate.