Security operations teams in search of deeper threat hunting capabilities and more streamlined investigations of workforce risks will find the enhancements they seek in the latest release of Haystax Technology’s
How Bayesian Networks Glean Better Insights During Clearance Investigations
Every national security clearance investigation revolves around a simple question: “What is this person not telling me?” After all, if every applicant for a cleared job was completely honest, there
The Case of the ‘Disgruntled’ Tesla Insider
Tesla CEO Elon Musk claims that at least one employee stole sensitive intellectual property and sabotaged existing operations at the electric car-maker’s battery plant in Nevada, which would constitute a
Haystax Technology VP to Discuss Insider Threat Mitigation at DoDIIS Event
Tom Read, Haystax Technology’s Vice President of Security Analytics, has been chosen to lead a breakout session at this year’s Department of Defense Intelligence Information System (DoDIIS) Worldwide Conference in
Gartner Sees Evolving UBA Market
The user behavior analytics market is fragmenting into fewer ‘pure-play’ UBA vendors and a larger number of more traditional security products with core UBA technologies and features embedded in them,
Haystax Technology Named to Cybersecurity 500 List
Cybersecurity Ventures has named Haystax Technology to its latest Cybersecurity 500 list of “the world’s hottest and most innovative cybersecurity companies to watch in 2018.” Haystax, which developed its award-winning
Gartner Highlights Haystax Technology in UEBA Guide
Haystax Technology has been named in Gartner Inc.’s latest Market Guide for User and Entity Behavior Analytics (UEBA) as a representative vendor in the specialized use-case category of employee monitoring
Gaussian Processes with Spectral Mixture Kernels to Implicitly Capture Hidden Structure from Data
For purposes of scientific discovery, the field of insider-threat detection often lacks sufficient amounts of time-series training data. Moreover, the limited data that are available are quite noisy. For instance, Greitzer