Darktrace, a leader in AI for cybersecurity, has announced enhanced capabilities for its Cyber AI Analyst. The latest innovations include the introduction of new proprietary advanced machine learning models that will improve threat detection, investigation, and alert prioritization. Cyber AI Analyst is an AI system that autonomously performs end-to-end investigations of all relevant alerts and prioritizes incidents.
It uses a combination of advanced AI techniques to investigate and triage alerts at machine speed and scale. “Security teams are increasingly overwhelmed—facing not just a surge in alerts but adversaries that are faster, stealthier, and more sophisticated,” said Tim Bazalgette, Chief AI Officer, Darktrace. To further uplift security teams, Darktrace is introducing two next-generation AI models for cybersecurity within Cyber AI Analyst:
Darktrace Incident Graph Evaluation for Security Threats (DIGEST) uses graph neural networks to predict which security incidents are most likely to escalate into major compromises.
This enables security teams to detect critical threats sooner and prioritize the incidents that matter most.
Enhancing AI-driven threat detection
Darktrace Embedding Model for Investigation of Security Threats – Version 2 (DEMIST-2) is a proprietary language model specifically trained for cybersecurity use cases.
It offers a deeper contextual understanding of security data and performs multiple, distinct complex tasks. This automates complex security tasks, reduces manual analysis time, and improves incident correlation, helping SOC teams respond faster. Bazalgette added that by understanding how attacks evolve and predicting which threats are most likely to escalate, these models enable earlier detection, sharper prioritization, and faster, more confident decision-making.
Empowering defenders with AI has never been more critical and we remain committed to driving innovation that helps our customers proactively reduce risk, strengthen their security posture, and uplift their teams,” said Bazalgette. The continued growth of cybercrime-as-a-service models, combined with the rising use of offensive AI, is increasing the speed, scale, and sophistication of cyber attacks. With the shortage of cybersecurity professionals continuing to grow, organizations are increasingly turning to AI-powered tools to enhance efficiency in the SOC.
Image Credits: Photo by Philipp Katzenberger on Unsplash
April Isaacs is a news contributor for DevX.com She is long-term, self-proclaimed nerd. She loves all things tech and computers and still has her first Dreamcast system. It is lovingly named Joni, after Joni Mitchell.
