Darktrace Cyber AI Research Centre
The cyber security industry has a history of reacting to attacks detecting only techniques it’s witnessed before. But attackers continue to innovate, combining new methods in new ways to create novel approaches, and most recently, to expose dormant software vulnerabilities – and adversaries show no signs of slowing down.
What would it take to tip the scales in favor of the defender?
Based in Cambridge, UK, the Darktrace Cyber AI Research Centre focuses on how both adversaries and defenders may apply AI to the ever-growing challenge of escalating cyber-attacks. Comprised of mathematicians, scientists, and AI experts, the Darktrace Cyber AI Research Centre has produced breakthroughs that have organically grown our knowledge of the security ecosystem.
More than 100 patents protected or pending for AI and machine learning concepts have evidenced new paths forward and today, our researchers are actively exploring new, innovative approaches in areas including defensive and adversarial AI, deepfakes, AI in social engineering, natural language processing, graph theory, and self-healing systems. Below you can read a selection of our research abstracts stemming from projects undertaken by expert members of our research team.
Research titles and abstracts
A multi-platform approach to autonomous response
Identification of services associated with data uploads for analysis of exfiltration
Identification of cryptomining credentials and their use in differentiating between insider threats and wide-spread malware
Robust identification of ransomware encryption over SMB
Matryoshka Bloom filters quickly and efficiently determine rarity
Securing tenant data in the public cloud
Analysis of email structure to detect malicious intent
Programmatically monitoring disparate SaaS environments
Identifying compromises with graphs of high-precision security metadata
Structural construct detection as a variable indicator of compromise
Gaussian constructions on surfaces for anomalous event identification
Detecting and preventing misdirected emails with correspondence semantics
Analyzing network activity to detect compromised devices sending spam emails
Our research team comprises experts in a wide range of subjects, some of whose specialisms are described in more detail below.