Use Cases : Cybersecurity
Developed by DARPA specifically to combat tough threats like Advanced Persistent Threat (APT) and Insider Threat detection, thatDot powers next-gen cybersecurity applications and architectures.
The core technology of thatDot, Quine open source software, was developed in partnership with DARPA to detect the biggest cybersecurity challenges, Advanced Persistent Threats (APT) and Insider Threats, to prevent data exfiltration and malicious attacks. Now, funded in part by Cloudstrike, thatDot brings cybersecurity applications into the next century.
Learn more about XDR, IoB Threat Hunting, Advanced Persistent Threat Detection, AWS Cloudtrail Threat Detection.
Catch known and unknown
Detect both known and emerging behavioral patterns in a single workflow.
Cross domain detection
Joins multiple data sets to enable real-time identification of attack behaviors across domains
No time window limitation
Average APT dwell time is 212 days. Identify behaviors over extended time periods, and catch them the moment they start to exfiltrate data, using real-time streaming analysis.
Use Cases
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Stateful Digital Twin
The Problem While digital twins and the emerging subcategory of asset graphs promise operators greater visibility into the relationships between IT assets and equipment under management, current approaches…
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Real-Time IoB Threat Hunting
The Problem Modern threat detection requires data – lots of data – typically from multiple sources. This brings with it a number of interesting data engineering challenges, especially…
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Advanced Persistent Threat (APT) Detection
The Problem Discovering advanced persistent threats (APT) is, by design, akin to finding a needle in a haystack. The threat actors behind APTs combine multiple tactics, techniques, and…
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Real-time AWS CloudTrail Threat Detection
The Problem AWS CloudTrail logs are full of untapped information that can help reduce risk and improve event response times, especially when analyzed in context and in real…
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