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.

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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

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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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