Case Study: thatDot achieves real-time AWS CloudTrail threat detection with Quine Enterprise and Novelty Detector

thatDot launches real-time AWS CloudTrail threat detection at millions of events per second

A thatDot cybersecurity customer wanted to expand their offerings to include a new threat detection monitoring product for AWS CloudTrail logs. Their challenge was to reliably identify hard-to-detect threats using behavior analysis, generate understandable alerts for low-tech customers, and shorten development cycles for new products.

thatDot solved this by implementing their Quine Enterprise streaming graph with Novelty Detector. This combination provided real-time identification of both novel emerging threats and known malicious patterns, generating context-rich, human-readable alerts. The solution resulted in a notably low false positive rate, empowered analysts with easily researchable alerts, and enabled the client to quickly launch their new threat detection product to market.

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