1. What Is Network Detection?

Network Detection focuses specifically on monitoring and analyzing network traffic to identify suspicious or malicious activity. It forms the core of Network Detection and Response (NDR) systems.

Key Characteristics:

• Analyzes network traffic flows (east-west and north-south)

• Uses behavioral analytics, machine learning, and packet inspection

• Detects anomalies such as:

  • Lateral movement

  • Data exfiltration

  • Command-and-control (C2) communication

• Passive and non-intrusive—doesn’t require agents on endpoints

Tools/Technologies:

• NDR platforms (e.g., Vectra AI, ExtraHop, Darktrace)

• Network traffic analyzers (NetFlow, packet sniffers)

• Intrusion Detection Systems (IDS)

2. What Is Threat Detection?

Threat Detection is a broader term that refers to identifying any indicators of compromise (IOCs) or malicious behavior across an organization’s entire IT environment—not just the network.

Key Characteristics:

• Detects threats across:

  • Endpoints

  • Network

  • Cloud

  • Email

  • Applications

• Can be signature-based, behavior-based, or intelligence-driven

• Includes real-time alerts, threat scoring, and correlation

Tools/Technologies:

• EDR (Endpoint Detection and Response)

• SIEM (Security Information and Event Management)

• XDR (Extended Detection and Response)

• Antivirus, threat intel feeds, UEBA (User & Entity Behavior Analytics)

Conclusion

• Network Detection and Response (NDR) is specialized, focusing on traffic-based anomalies and lateral threats.

• Threat Detection is broad and cross-environment, aimed at spotting any malicious activity.

• Both are essential and complement each other to ensure strong, holistic cybersecurity coverage.