Technology & Data Science

insider threat

We described in Part 1 of this post why access-badge data is a valuable source of evidence as to whether an employee, contractor, vendor or customer poses a risk to…

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…

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…

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,…

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…

Insider threats

Trusted insiders can harm an enterprise in all kinds of ways, from intellectual property theft, financial fraud and data breaches to espionage, sabotage and even terrorism. Moreover, the root causes…