Research

Attack Path Modeling Research

Read our new Darktrace Discourse paper, authored by one of our researchers based at the Centre. The author has seven years’ experience in the automation of complex cyber-centric processes with specialization in the offensive domain, and holds a PhD in Astrophysics from the University of Cambridge.

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Research Abstracts
Rapid Process-Chain Anomaly Detection Using a Multistage Classifier
Sorting long lists of file names by relevance and sensitive content
A system for analyzing network activity to detect stealthy cryptocurrency mining
Autonomous detection of the intended function of a corporate inbox through meta-scoring
Using epidemiology theory to identify the most damaging network devices
Automatic Identification of Scanned IP Ranges
A real-time, self-correcting similarity classifier for emails
Using graph theory to identify critical nodes within computer networks
Analyzing network activity to detect compromised devices sending spam emails
Detecting and preventing misdirected emails with correspondence semantics

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About the AI Research Centre

In existence since Darktrace’s inception in 2013, the Darktrace AI Research Centre is foundational to Darktrace’s our continued innovation. Rather than a defined product roadmap, the Centre looks at how AI can be applied to real-world challenges, to find solutions that cannot be achieved by humans alone.
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