thatDot CEO Explains Streaming Graph to Cybersecurity Thought Leader
Briefing Room on demand webinar on thatDot Youtube channel: The Unreasonable Effectiveness of Streaming Graph thatDot founder and CEO Ryan Wright discussed the power…
Novelty
Novelty Demo
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…
Novelty Technology
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…
The Future of Modern Threat Hunting is Streaming Graph
Standards-based threat detection & automated response using Quine streaming graph.
Dynamic Duo: Quine & Novelty Detector for Insider Threats
In a big update to the VAST Advanced Persistent Threat blog, we demonstrate an end-to-end Quine plus Novelty Detector workflow.
Network Log Analysis Using Categorical Anomaly Detection
The distributed nature of modern virtualized software architectures has created added complexity in the networking stack, making it difficult to attribute behavior to any single service.
Reducing False Positive Alerts With Contextual Anomaly Detection
Traditionally, monitoring alerts are produced comparing metrics against thresholds to identify behavior outside the norm.
Real-time Blockchain Monitoring is Hard without A Streaming Graph
As crypto currencies go mainstream, better techniques for protecting users from fraud are needed. Enter streaming graph.