Author - Rob Malnati

Identifying Data Exfiltration in AWS CloudTrail Logs Using Categorical Anomaly Detection

In our previous blog, Identifying stolen credential use in AWS CloudTrail logs with high confidence using categorical anomaly detection, we discussed the “False-positive reducing” power of analyzing the categorical data in AWS CloudTrail logs to identify novel behaviors. We...

Identifying Stolen Credential Use in AWS CloudTrail Logs with High Confidence using Categorical Anomaly Detection

The move to the cloud represents new challenges for enterprise security teams. Systems are more distributed and the impact of credential theft is greater than ever. Running your services in a public cloud vendor like AWS requires you to...

thatDot Anomaly Detector Enhancements: Visualizations and Data Transformations

Since the launch of thatDot’s Real-time Anomaly Detector for Categorical data in November, we have received numerous feature requests for additional data exploration and data transformation capabilities. We are excited to announce the addition of these key functions in...

The World’s First Real-time Anomaly Detector For Categorical Data

An Industry First: Anomaly Detection for Categorical Data in Real-Time thatDot is excited to share the general availability of the world’s first real-time categorical anomaly detector. Data Engineers, Developers, and Data Scientists can now generate a real-time score showing the...