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
Organizations that succeed in tackling insider threats have done so by building mitigation programs with full engagement and support from both leadership and employees, says Tom Read, Haystax Technology’s VP
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 Technology has rolled out new analytic capabilities that generate more detailed, accurate and timely intelligence on adverse human activities, reducing the noise and excessive false positives that plague many
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.