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
Organizations attempting to implement a world-class insider threat program must ensure their focus is on prevention rather than detection, writes Haystax Technology CEO Bryan Ware in his most recent Security
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.