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
Securing tenant data in the public cloud
Structural construct detection as a variable indicator of compromise
Robust identification of ransomware encryption over SMB
Programmatically monitoring disparate SaaS environments
Using graph theory to identify critical nodes within computer networks
Sorting long lists of file names by relevance and sensitive content
Rapid Process-Chain Anomaly Detection Using a Multistage Classifier
Using epidemiology theory to identify the most damaging network devices
Gaussian constructions on surfaces for anomalous event identification
A multi-platform approach to autonomous response
AI Research Centre

Backed in Research.

In existence since Darktrace’s inception in 2013, the Darktrace AI Research Centre is foundational to 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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