Research

Attack Path Modeling Research

This paper outlines Darktrace's Attack Path modeling (APM) capabilities, exploring how real-time, automated, dual-aspect, multi-data-source, end-to-end APM can be used to give blue teams a comprehensive view of realistic, risk-prioritized attack paths so that resources can be best allocated to defend key assets.

Download this research paper
Researcher
No items found.
Research Abstracts
Robust identification of ransomware encryption over SMB
Using graph theory to identify critical nodes within computer networks
Using epidemiology theory to identify the most damaging network devices
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
Rapid Process-Chain Anomaly Detection Using a Multistage Classifier
Securing tenant data in the public cloud
Gaussian constructions on surfaces for anomalous event identification
Automatic Identification of Scanned IP Ranges
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.

Visit our AI Research Centre