Understanding the hierarchy of data available for security analysis
Security analysts work with different types of data, each offering varying levels of detail and storage requirements. Click each level to learn more.
No single data type is perfect for every situation. The choice depends on:
Explore each data type's characteristics, tools, and use cases
Complete copy of all network traffic including headers and payloads
Connection metadata without payload content
Application-layer request/response pairs
Aggregated metrics and summaries
Security events triggered by detection rules
| Data Type | Storage Cost | Retention | Best For |
|---|---|---|---|
| Full Packet | $$$$$ | Hours-Days | Deep forensics, malware analysis |
| Session | $$$ | Days-Weeks | Connection analysis, baseline |
| Transaction | $$ | Weeks-Months | App behavior, user activity |
| Statistical | $ | Months-Years | Trend analysis, capacity |
| Alert | $ | Years | Incident response, compliance |
Match the investigation type to the appropriate data source
For each scenario, select the BEST data type to use for the investigation.
Extract and analyze the actual malicious code transferred
Full Packet CaptureIdentify periodic outbound connections to suspicious IPs
Session DataFind unusual HTTP POST requests with large payloads
Transaction DataMeasure traffic volume changes during an attack
Statistical DataReview triggered alerts for false positive tuning
Alert DataMap internal connections between compromised hosts
Session DataTest your understanding of NSM data types