Can organizations identify insider threats or high-risk individuals using network data alone? Consider that many security software solutions today are optimized to perform network log monitoring and aggregation. They excel
It’s not uncommon for large enterprises to receive thousands of security alerts each month, thanks to analytics software configured to identify anomalies that may indicate a potential threat. However, an
Haystax Technology, a leading security analytics platform provider, is today releasing an industry survey, titled Insider Attacks, that provides new data and insights into the current state of the insider
Following the rollout of several new capabilities focused on insider threats and behavioral analytics, Haystax Technology’s software development team has deployed a number of functional enhancements to core apps in
Bayesian modeling, machine learning and rules-based systems are often cited as three of the most useful technologies for security analytics applications. The problem is that they are often poorly implemented,
Haystax’s security analytics platform applies artificial intelligence techniques to reason like a team of analysts and prioritize risks in real time at scale for more efficient protection of critical assets.