Two Haystax data scientists are headed to the Massachusetts Institute of Technology (MIT) in Boston to deliver a poster-style presentation at the first-ever International Conference on Probabilistic Programming, which runs
Gleaning Deeper Insights from Badge Data – Part 1
Organizations with established insider threat detection programs often deploy security solutions that are optimized to perform network log monitoring and aggregation, which makes sense given that these systems excel at
Get the Data You Need
Enterprise security teams responsible for preventing insider threats have mixed feelings about acquiring and analyzing data on individuals. Sure, that data contains a wealth of knowledge about the potential for
Haystax VP Writes Article on Insider Threat Mitigation Techniques
The best insider threat mitigation programs often use combinations of analytic techniques to assess and prioritize workforce risk, according to a recent report by the Intelligence and National Security Alliance
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
Principled AI with Probabilistic Machine Learning
At Haystax Technology, we are proponents and early adopters of principled approaches to machine learning (ML) and artificial intelligence (AI) for cybersecurity. We use the term ‘principled AI’ to describe what
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,
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