Designed from the ground up with artificial intelligence (AI) built in, the Secureworks® Taegis™ platform drives our advanced detectors, automated responses, and supports security analysts.
Secureworks AI by the Numbers
Our vast set of human-validated AI training data is constantly expanding in both volume and diversity, to continuously improve existing and enable new AI-powered detection and response capabilities:
daily security data events ingested into Taegis provides timely insights into new and emerging threats
of diverse data across endpoint, cloud, network, email and other systems enables detections across threat vectors
human curated detectors from our Counter Threat Unit™ uncover the latest threats across our customers
nodes in our Counter Threat Unit™ proprietary research graph provides contextual insights while leaving no place for threats to hide
human-validated threat investigations conducted annually contribute to a feedback loop for continuous improvement
Annual manual incident responses and penetration tests drive AI innovation based on real-world findings
AI-Based Threat Detection
Our advanced Hands-on-Keyboard detector uncovers “live” keyboard inputs from malicious actors, based on training from over 3.3 trillion security events. With a false alarm rate below 1 in 150 Million, it is one example of how Secureworks AI-driven detectors are designed to focus analysts on high value actions rather than chasing uncertain alerts.
Secureworks AI In Practice
We have trained our systems on a large, growing, proprietary, and human-validated data set to achieve superior performance. By integrating AI into Taegis, we are driving efficiency and accuracy for our customers.
AI Integrated Natively Into the Taegis Platform
Hundreds of AI models leverage our proprietary data set and thousands of investigation hours to perform automated threat detections, prioritize threats & draft incident summaries.
AI Driving SOC Efficiency and Response Time
Over the span of one year, our use of AI has reduced investigation times by more than 50% and saved analysts 90% of the time it takes to write investigations, further accelerating responses.
AI Reducing Detection False Positives and False Negatives
AI augments manual review of human analyst work in event classification and investigation escalation, providing a continuous feedback and audit loop that improves performance.