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 Named Finalist for 2017 Cybersecurity Excellence Awards
Haystax Technology’s Haystax Analytics Platform™ has been named a finalist in the Security Analytics product category for the 2017 Cybersecurity Excellence Awards. The awards honor individuals, products and companies that
Haystax Technology to Provide Security Analytics for Super Bowl
As the National Football League gears up for Super Bowl LI in Houston on February 5, the team at Haystax Technology is preparing to provide security analytics support for what
Insider Threat and Security Clearance Reform: A Chance to Accelerate Change
Many policy objectives were ardently debated throughout the 2016 presidential election cycle and became polarizing issues, dividing people chiefly along party lines. By contrast, the twin issues of improved insider
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
Washington Post Reports on Haystax Technology-Fishtech Partnership
The Washington Post has published a detailed article on Fishtech’s strategic investment in Haystax Technology, which was announced this morning. Fishtech, led by Gary Fish, a Kansas City-based entrepreneur and
Haystax Named Top Cybersecurity Company to Watch in 2017
Cybersecurity Ventures has released its Q4 2016 Cybersecurity 500 list, once again noting Haystax Technology as a leading provider of advanced security analytics and risk management applications heading into 2017.
Haystax Product Update: New Dashboard App
The newest application in Haystax Technology’s Haystax Analytics Platform provides users with a powerful way to visualize and manage real-time security analytics outputs and threat data generated from the Haystax
