Darktrace Cyber
AI Research Centre

Research unlocks the unknowns; it also helps shed light on what we are collectively up against.
— Jack Stockdale OBE, CTO

Our history

The Darktrace AI Research Centre is foundational to our continued innovation. Teams of mathematicians and other experts examine how AI can be applied to real-world problems, to find new paths forward to augment human capabilities.

With more than 100 patents and patents pending, the AI Research Centre comprises more than 150 members, including experts with 80 master's degrees and 30 doctorates in disciplines from astrophysics to linguistics to data science.  
Rather than confined to work on product roadmaps, researchers are free to experiment and explore, guided by creative insight arising from pure research. Yet we have never shied away from taking on real challenges faced by the industry, and the AI Research Centre operates with a common goal of solving these challenges with AI and mathematics. Following Darktrace’s acquisition of Cybersprint, a second R&D center is operational in The Hague, The Netherlands.
The AI Research Centre has produced numerous award-winning breakthroughs, which have gone on to form the AI capabilities that today comprise our products contained in the Darktrace Cyber AI Loop. Please see below a selection of  research abstracts stemming from these research initiatives.

48%

Headcount increase in 2021

30

Doctorates

88

Masters
[The Centre] saw growth of 69.2% in related patent applications in the three months ending November, compared to the same period [the previous year] — the highest percentage growth out of all companies tracked.
— Global Data

Featured Research

Research

Researchers

Bachelor of Science

Stanford University
Specializes in electrical engineering including analog circuit design and organic semiconductors.

PhD in Astrophysics

University of Cambridge
Specializes in general automation of complex, typically human-driven processes with current focus on adversarially-oriented preventative security.

PhD in Mathematics and Physics

University of Cambridge
Specializes in applications of machine learning and statistical analysis, clustering techniques and the use of neural networks for the classification of categorical data.

PhD in Biochemistry

University of Cambridge
Specializes in neuroscience and behaviour modeling, machine learning to identify novel threats, and automated healing of computer systems following a digital compromise.

Master’s in Mathematics

Durham University
Specializes in mathematical biology and mathematical modeling, numerical analysis and adversarial attack simulations.

PhD in Statistics

Durham University
Specializes in non-parametric modeling, statistical and optimization problems, dimension reduction and classification problems.

Master’s in Physics

University of Cambridge
Specializes in the application of nuclear magnetic resonance to manufacturing processes, and the application of machine learning to galaxy clustering.

Master’s in Engineering

University of Oxford
Specializes in applications of machine learning techniques in bioengineering, applying neural networks to extract structures in medical imagery, and investigating novel phishing techniques.

PhD in Theoretical Linguistics

University of Cambridge
Specializes in algorithmic modeling of cognitive representations and acquisition of natural language syntax.

PhD in Cosmology

University of Cantabria
Specializes in developing novel advanced statistical techniques in data analysis and software engineering for supercomputers.

PhD in Mathematics

University of Bath
Specializes in applications of AI to endpoint and cloud environments and network traffic analysis.

PhD in Mathematics

University of York
Specializes in mathematical physics, anomaly detection in complex data to improve efficiency, and optimization and stability in data processing.