Featured Content
The First Real-Time Anomaly Detector For Categorical Data
So much data in the world, and the majority of the tools that analyze it are designed to operate only on numerical values. thatDot Anomaly Detector detects anomalies in categorical data types; file names, trace routes, IP addresses, user IDs, HTTP responses… to unlock the value of ALL your data. Read the blog.
Documents
thatDot Real-time Anomaly Detector
A collateral reviewing thatDot features and capabilities for real time anomaly detection on categorical data types.
thatDot Real-time Root Cause Analysis
A collateral reviewing thatDot features and capabilities for real time alert, log and metric correlation and data exploration, for faster time to trouble isolation and resolution.
thatDot Security Event Correlation
A collateral reviewing thatDot features and capabilities for real time security alert, application metrics and network logs correlation.
thatDot Video Observability
A collateral reviewing thatDot’s video observability solution.
thatDot Featured Blogs
Reducing False Positive Alerts With Contextual Anomaly Detection
The World’s First Real-time Anomaly Detector For Categorical Data
Whitepapers
Understanding thatDot Anomaly Detector
A four page solution brief that describes how thatDot Anomaly Detector uses data context to identify anomalies in categorical data, even when that data has high cardinality.
