Research

Prevent: Security through Adversity

Read our 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
Robust identification of ransomware encryption over SMB
Sorting long lists of file names by relevance and sensitive content
Structural construct detection as a variable indicator of compromise
Programmatically monitoring disparate SaaS environments
Securing tenant data in the public cloud
Using graph theory to identify critical nodes within computer networks
Using epidemiology theory to identify the most damaging network devices
Identification of cryptomining credentials and their use in differentiating between insider threats and wide-spread malware
Gaussian constructions on surfaces for anomalous event identification
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