When it comes to analyzing large amounts of network and security data to detect and remediate advanced threats (and the vulnerabilities that cause them), most organizations are already overloaded by the volume of data they gather. This was particularly telling in the SANS 2012 Log and Event Management Survey, where organizations reported for the first time a backslide in their ability to detect advanced attacks against their networks, which they blamed on having to sort through too much data.
Speed, throughput and accuracy in this big data environment are all critical, but how should these scale to meet future demand?
This webcast discusses the collection, correlation and analysis features of LogRhythm's security analytics platform, its \Big Data" capabilities and its use in the real world, with advice for readers assessing their present and future SIEM needs.
Sign up for this webcast and be among the first to receive an advance copy of a SANS whitepaper discussing LogRhythm's security analytics platform and its effectiveness as a SIEM system.
Click here to view the associated whitepaper.