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.
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thatDot is transforming cybersecurity with innovative Streaming Graph technology. By merging real-time event stream processing with powerful graph analytics, thatDot offers unparalleled capabilities in threat detection and response, ensuring robust protection against modern cyber threats.
Find Stolen Credentials Use in AWS CloudTrail Logs using Quine Graph
The move to the cloud represents new challenges for enterprise security teams. Use thatDot Novelty Detector to detect the attack quickly.
What Is Categorical Data? Comparing it to Numerical Data for Analytics
Data comes in two flavors: Numeric and Categorical. Numeric data is easy, it’s numbers. Categorical data is everything else.
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.
Draw Connections to Build Insights
We introduced the term “3D Data” as a mnemonic and a way to think about streaming data processing that incrementally builds toward human-level data questions.
The Three D’s of Graph Data
Draw Connections, Define Data, Drill Down
Defining Video Observability
Imagine if the next time your video streaming operations dashboard-of-choice warns you that 100 users experienced video start failures in the last minute,