Massive Attack & Detection Library
Detecteam’s extensive scenario library includes adversary TTPs, detection baselines and simple building blocks like ‘auth failure’ ‘lateral movement’ or detections for ‘all the Mimikatz behaviors’. Use our content library or create your own to evaluate anything from your detection performance to ransomware or powershell execution techniques and much more.
Accurate Adversary Behavior, Precise Data Generation
Generate attack behavior data natively like your SIEM/XDR/Data Lake sees them. Generate accurate detections using the Detecteam REFLEX™ platform’s AI-native automated detection engineering pipeline.
Measure Detection Performance
Baseline what your detections are seeing and what they do not see. Understand detection behavior and performance through metrics and evidence as part of a maturity lifecycle for your SIEM/XDR. Stop thinking in alerts; start thinking in coverage, quality and accuracy.
Detection Lifecycle Automation
Automate detection development workflows across all platforms by building detections faster with fewer resources. Get tested detections into production in minutes not weeks.
AI-Powered Insights
Answer before you are asked if you are prepared for the latest threats. Use our AI-powered Adversary Behavior Builder to Validate your detections behave as you expect when it matters. Improve your detections over time with AI-powered automated improvement and continuous validation you are at peak readiness.
Resource Cost Optimization
Automating detection workflow and detection-as-code development lifecycle dramatically speeds up detection agility. Optimizing technology and security expertise faster, removing tedious manual detection review, reducing time to build, test and deploy and optimizing the cost of detection lifecycle management.