Bayesian networks

data science

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…

insider threat

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…

data

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…

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…

Image of Cyber Fraud model on laptop

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…

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…

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 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

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…