science-technology
July 21,2025 • 2 min read
This usually refers to how effectively a Security Operations Center (SOC) performs its duties, such as:
Detecting threats quickly
Responding efficiently to incidents
Reducing false positives
Automating repetitive tasks
Maintaining high analyst productivity and low burnout
To understand SOC (Security Operations Center) Efficiency with an NDR (Network Detection and Response) Platform, let’s break it down into key areas:
NDR stands for Network Detection and Response, a cybersecurity solution that monitors network traffic to detect threats using:
Behavioral analytics
Machine learning
Threat intelligence
Anomaly detection
A traditional SOC faces challenges like:
High alert fatigue from multiple tools (SIEM, IDS/IPS)
Slow response times due to manual investigations
Lack of east-west traffic visibility (lateral movement detection)
Limited context about attacks and affected assets
Faster Threat Detection | NDR solutions identifies anomalies in real time, reducing mean time to detect (MTTD). |
Reduced Alert Fatigue | ML-powered alert prioritization and fewer false positives improve analyst productivity. |
Improved Lateral Movement Detection | Detects suspicious internal activity not visible to perimeter defenses. |
Incident Contextualization | NDR enriches incidents with user, device, and behavior metadata, aiding faster triage. |
Integration with SIEM/SOAR | Automatically feeds intelligence to other tools for coordinated response. |
MTTD (Mean Time to Detect) | Reduced by real-time anomaly detection |
MTTR (Mean Time to Respond) | Lowered via contextual alerts and automation |
Alert Volume | Decreased due to better filtering/prioritization |
A modern SOC might look like:
NDR platforms detects suspicious lateral movement
SIEM correlates NDR data with endpoint logs
SOAR auto-triggers containment playbook (e.g., isolate a compromised host)
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