IT departments at midsized and large companies are turning to security analytics tools to collect, store, filter, integrate and correlate information about security events in real time.Working in concert with existing network defense architecture and strategies, analytics tools provide a more comprehensive picture of the security of the infrastructure, uncovering suspicious activity on a network that might otherwise go unnoticed and filtering out an overwhelming amount unneeded data.
The concept of security analytics is not necessarily new.The original version of analytics was SIEM (Security information and event management) and log management systems.Together these collected, processed and analyzed data logs. But today’s security analytics tools go further and offer many more functionalities. Some might even call security analytics tools the next generation of SIEM.
Why this evolution? Because the data that IT and security teams are handling today has exploded – and businesses need tools that can offer them a way to make some sense out of all of this noise. This report offers a way to make sense out of security analytics, outlining the use cases in which security analytics are the most useful, examining what to look for in analytics tools, and providing a roadmap for implementing a security analytics strategy.
