Security News > 2021 > August > Security is a Big Data Problem, and It's Getting Bigger
Solving security's big data problem is about prioritized data flow, continuously processing data for analysis and translating and exporting it to create a single security infrastructure.
Typically, when someone says "Security is a big data problem" they're referring to the overwhelming amount of internal threat and event data produced from sources like your SIEM, logs, ticketing and case management systems.
That's just one side of the big data problem - the data ingestion side if you will.
To truly address SOAR use cases, we need to move from a process-driven to a data-driven approach that prioritizes data and connects systems with that data.
Security teams are indeed grappling with a big data problem that checks the classic "4 Vs": massive volume, variety, velocity and veracity of data to be ingested and exported.
Solving it is all about prioritized data flow, continuously processing data for analysis and translating and exporting it to create a single security infrastructure.