Stop Insider Threats With Automated Behavioral Anomaly Detection
Unlock the potential of anomaly detection in data analysis and gain valuable insights for your business.
Data Exfiltration Detection in AWS CloudTrail Logs Using Categorical Data
This blog on AWS data exfiltration detection explains the use of categorical data in anomaly detection to identify multi-stage exploit campaigns in AWS CloudTrail logs.
The Known Security Challenge of the Unknown
Destructive attack campaigns succeed because they integrate new techniques or new hardcoded credentials to access and victimize their targets.
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.
New to Quine’s Novelty Detector: Visualizations and Enhancements
thatDot’s real-time Novelty Detector for categorical has updated its data exploration and data transformation capabilities.
The World’s First Real-time Novelty Detector For Categorical Data
thatDot is excited to share the general availability of the world’s first system for real-time categorical anomaly detection.
Reducing False Positive Alerts With Contextual Anomaly Detection
Traditionally, monitoring alerts are produced comparing metrics against thresholds to identify behavior outside the norm.