Security professionals are ingesting security data from all over their enterprises in an attempt to detect threats faster, according to the SANS Analytics and Intelligence Survey. Despite the vast amount of data, organizations still lack the visibility they need to detect, scope and remediate threats in their enterprises. They need better analytics with machine learning to connect the dots to prevent future attacks.
The annual SANS Security Analytics Survey written by, Dave Shackleford, investigates how security analytics can and is helping organizations defend against cyber threats.
Download the survey to learn:
How your peers are using security analytics and intelligence to detect and respond to threat events
Roadblocks to effective implementation of analytics
Best practices of gathering, analyzing and using security analytics to improve risk posture
The benefits of automated pattern recognition, machine learning and the importance of SIEM