Briefing Room on demand webinar on thatDot Youtube channel: The Unreasonable Effectiveness of Streaming Graph thatDot founder and CEO Ryan Wright discussed the power of thatDot Streaming Graph and Novelty to detect the most well-hidden threats with the Bloor...
Novelty Tutorial This 12 min video demonstration walks through a Jupyter notebook powered scenario illustrating how to use thatDot Novelty to analyze CDN logs for anomalous activity. Click here to download the CDN dataset for this example.Download the Jupyter...
Introduction: a New Approach to Anomaly Detection Anomaly detection is a technique for finding important data. Decades of research has been spent on creating tools for anomaly detection with numeric data. But most data produced in the real world is not numbers—it is...
Towards a new model of threat hunting The continuous expansion of threat vectors and attack techniques requires a modern threat hunting architecture capable of large scale operations, real-time deep/complex event processing to identify Indicators of Behavior (IoB),...
Adding Quine to the Insider Threat Detection Proof of Concept A lot has changed since we first posted the Stop Insider Threats With Automated Behavioral Anomaly Detection blog post. Most significantly, thatDot released Quine, our streaming graph, as an open source...
