Network communications analysis is the examination of traffic flows, protocols, endpoints and message patterns moving across a network. It is used to understand who is talking to whom, what protocols are in use and whether the communications show anomalies, exfiltration, command traffic or other suspicious behaviour.
What network communications analysis covers
Network communications analysis focuses on the observable behaviour of network traffic rather than on a single packet in isolation. Practitioners use it to understand communication paths, protocol use, timing, volume, and message structure across hosts, services, and network segments. It is often a foundational visibility technique because it turns raw transport and application activity into something that can be reasoned about operationally and defensively.
The value of the discipline comes from context. A connection may be normal in isolation, but look suspicious when its destination, timing, frequency, or protocol sequence is unusual for the environment. That is why communications analysis is commonly used alongside asset baselines, identity-aware monitoring, and incident triage workflows.
What analysts look for in traffic patterns
Analysts typically examine who is communicating with whom, which ports and protocols are active, and whether the traffic follows expected patterns for the application or business function. Repeated short connections, periodic beaconing, unexpected lateral traffic, or unusual remote destinations can all be meaningful indicators when compared with known-good behaviour.
The method also helps distinguish routine operational traffic from suspicious activity. For example, encrypted traffic is not inherently malicious, but changes in destination reputation, session timing, packet sizing, or connection frequency can reveal command traffic, tunnelling, or data transfer that deserves closer inspection.
How it supports detection and investigation
Network communications analysis is valuable because it provides evidence that can be correlated with endpoint, authentication, DNS, proxy, and firewall data. It helps investigators reconstruct attack paths, identify possible staging or exfiltration channels, and determine whether activity is isolated or part of broader movement across the environment.
When used well, it supports both hunting and incident response. It can show whether a host is merely noisy or whether it is participating in coordinated behaviour, such as beaconing to a controller, reaching a rarely used external service, or exchanging data with peers in a pattern that does not fit the organisation’s normal baseline.
Why the discipline matters for security operations
Communications analysis is important because many attacks must eventually use the network, even when the initial compromise happens elsewhere. Adversaries often rely on normal-looking protocols, short-lived sessions, or encrypted channels to blend in with legitimate traffic. NIST Cybersecurity Framework 2.0 is a useful reference point here because it links visibility, detection, response, and recovery into a single operational view.
It also supports control validation. If a security team expects segmentation, proxy enforcement, or restricted outbound access, communications analysis can reveal whether those controls are actually shaping traffic as intended. That makes it useful not only for finding threats, but also for checking whether the network is behaving the way policy assumes it should.
Risk and Threat Considerations
Network communications analysis carries material security value because the same traffic visibility that helps defenders also exposes patterns an attacker may try to hide. Encrypted sessions, living-off-the-land tooling, and low-and-slow exfiltration can all reduce obvious signals while still leaving network artefacts that skilled analysts can detect.
Failure mechanism: If the organisation has incomplete telemetry, weak baselines, or limited visibility into east-west and outbound traffic, suspicious communications may blend into normal activity until data loss, command activity, or lateral movement is already well established.
Impact: Missed or delayed detection can allow persistence, credential theft, exfiltration, or control-plane abuse to continue longer than it should, increasing the scope and cost of the incident.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
MITRE ATT&CK addresses the attack and risk surface, while NIST CSF 2.0 sets the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | DE.CM-01 — Networks and Network Services Monitored | Network communications analysis directly monitors network activity for anomalies and suspicious behaviour. |
| ID.AM-01 — Physical Devices and Systems Inventory | Traffic analysis is strongest when tied to a known asset and service inventory. | |
| PR.PS-02 — Software, Hardware, Data, and Services are Updated, Replaced, and Removed as Needed | Communications baselines support control validation when services and paths change over time. | |
| Recommendation — Monitor network traffic continuously for anomalous communications and suspicious protocol patterns. Maintain an accurate asset inventory so traffic can be matched to expected hosts and services. Validate that network paths and service communications still match approved operational design. | ||
| MITRE ATT&CK | T1041 — Exfiltration Over C2 Channel | The term explicitly includes command traffic and exfiltration patterns that ATT&CK models. |
| T1071 — Application Layer Protocol | Traffic analysis often identifies malicious use of common protocols for covert communications. | |
| Recommendation — Map suspicious outbound communication patterns to ATT&CK techniques and hunt for exfiltration paths. Inspect application-layer protocol use for abuse, tunnelling, and covert command traffic. | ||
Practitioner Guidance
What to watch for: Focus on recurring destinations, unusual protocol use, unexpected encryption patterns, rare peer relationships, and traffic that does not fit the application’s normal timing or volume. Those are often more actionable than raw packet counts alone.
Practitioner takeaway: Treat network communications analysis as a baseline-and-exception discipline, not a one-off forensic lookup. It becomes most effective when the team can compare current traffic to a known-good model and then correlate anomalies with endpoint and identity signals.
Related resources from NHI Mgmt Group
- What breaks in a crypto investigation when seed phrase recovery is not paired with network analysis?
- Why do firewall rules and network-layer controls matter so much in cloud exposure analysis?
- Why does scanning personal data inside application code create more operational risk than network-layer analysis?
- What is the difference between identity-based trust and network-based trust for machine communications?
Deepen Your Knowledge
Free weekly newsletter
Subscribe to the NHI & AI Identity Journal
The latest on NHI and Agentic AI security – articles, research, breaches, news and events every week.
Bonus 33% off our NHI Course when you subscribe.
Reviewed and updated by the NHIMG editorial team on November 3, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org