machine learning

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…

insider threat

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…

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…

insider threat

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…

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…

On any given day, security operations center (SOC) analysts are confronted with streams of alerts that range in importance from highly actionable threat intelligence to screen-cluttering false positives. Each alert…

Is the European Union’s General Data Protection Regulation (GDPR) a game-changer for security analytics? The regulation enters into force on May 25, and in this regard its 99 articles and…