Organizations need to bolster their fraud identity insight offerings in order to sift through data and determine which threats can harm them.
While we have mastered designing and implementing bearings over time, we seem to continue to struggle with keeping security intelligence up-to-date.
Organization should work to boost their big data security analytics in the new year to respond to increasingly complex and sophisticated threats.
Traditional data security defenses are insufficient for the cloud, which is why big data analytics can help keep your organization secure from threats.
Security intelligence is not a game, and it's an area where you can't afford to lose. Here are three key components of a successful IT security strategy.
Let's clear up the misinterpretations and explore the structural differences between big data, information, security intelligence and real intelligence.
How big data can fuel intelligence-driven security and how to secure the big data ecosystem. Based on keynotes from Eddie Schwartz and Davi Ottenheimer.
One of the biggest challenges organizations face today is the need to keep more and more security data online for quick analysis by their SIEM solutions.
Successfully detecting insider fraud and advanced threats requires gathering and analyzing a broad collection of IT security information. An effective security intelligence platform helps organizations filter through the billions of daily log source...
What if you demanded a picture ID for everyone you meet, whether they're complete strangers or long time friends since grade school? You'd certainly end up with a much diminished social network. So why do we require the same user...