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
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
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
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,
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
