The way we generate information about ourselves today — increasingly through social media, computer networks and connected devices — has forced security professionals to re-evaluate how they capture data, analyze
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
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
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,
Bryan Ware, Haystax Technology’s CEO and a regular contributor to Network World, today published his insights on three popular security analytics approaches – Bayesian networks, machine learning and rules-based systems
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.