Haystax Technology CEO Bryan Ware has written the second of a two-part series on how three well-known security analytics approaches can be vital tools for organizations and security analysts, provided
Haystax Technology Publishes Security Analytics White Paper
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 CEO on Security Analytics
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
Overcoming Objections to Bayesian Networks – Part 2
This is the second in a series of blog posts that will look at how common objections to the use of Bayesian networks can be overcome by clear thinking and
Network World Cites Haystax Technology CEO in AI Piece
Will artificial intelligence (AI) help or hurt the cybersecurity job market? Tech journalist Maria Korolov explores this and other AI issues in a recent article in Network World and cites
Overcoming Objections to Bayesian Networks – Part 1
In an earlier blog post we discussed the advantages of using Bayesian Networks as a representation for reasoning in complex problem domains. Despite these advantages, there are many who argue
Haystax CEO: Effective Security Analytics for Insider Threat Prevention
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
A Security Analytics Approach That Does Work
So far in this series, we’ve reviewed some of the more widely deployed solutions for security analytics, and explained how and why they fail most of the time. In this
