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NetFlow analysis is the technique of examining metadata about network traffic flows without inspecting payload. Each flow record includes source, destination, protocol, port, byte counts, packet counts, and timestamps. Across enough flows, patterns emerge that identify malicious activity even when the payload itself is encrypted. TacitRed uses NetFlow analysis as its primary observation method.
Most network traffic in 2026 is encrypted by default. Payload inspection is either impossible or requires TLS termination, which adds complexity and privacy concerns. NetFlow analysis sidesteps the encryption problem by working at the metadata layer.
The technique scales. A single sensor observing thousands of flows per second can be combined with peer sensors to produce internet-scale visibility. Modern NetFlow analytics also correlate across flows to identify multi-stage behaviors that single-flow inspection would miss.
NetFlow analysis is the detection engine behind compromised host identification at TacitRed scale. It complements payload inspection (which goes deeper but does not scale) and signature-based detection (which catches known patterns but misses novel ones).
A beaconing pattern shows a corporate IP making a 4-kilobyte request to the same attacker-controlled IP every 47 minutes for three days. The pattern is invisible at the payload layer (the traffic is encrypted) but obvious at the NetFlow layer. A second example: an exfiltration pattern shows a database server suddenly initiating outbound flows to a cloud storage endpoint never seen before, with byte counts consistent with a full table dump.
Yes, at the metadata layer. The payload remains encrypted but the source, destination, timing, and size patterns are visible regardless of encryption.
Packet capture stores full payloads, which is expensive and creates privacy concerns. NetFlow stores only metadata, which scales to internet-wide observation and avoids most privacy issues.
No. TacitRed uses its own sensor network observing internet-wide NetFlow patterns. The customer does not need to send any traffic or install any agents.
Pattern-based NetFlow analysis can false-positive when legitimate behaviors look similar to malicious ones. TacitRed reduces false positives by correlating with attacker-infrastructure mapping; a flow to a benign IP is not an alert even if the pattern looks suspicious.
Last updated: 2026-05-20.
