Understanding what NDR cybersecurity is means understanding where the most dangerous threats hide today: in network traffic, often invisible to antivirus tools and endpoint agents. NDR analyses flows in real time, detects anomalous behaviour and triggers automatic responses, making it the tool that concretely changes defensive capability in increasingly complex IT, OT and IoT environments.
NDR: definition and differences from other monitoring tools
Network Detection and Response refers to a category of tools that continuously monitor network traffic without agents installed on endpoints. This is the key difference from EDR, which monitors individual devices, and from SIEM, which correlates logs already generated by other sources. A firewall operates based on predefined rules: it blocks what it recognizes, but it does not detect anomalous behavior in internal traffic flows. With ransomware on the constant rise in Italy and industrial risks now having physical as well as cyber consequences, this gap is not merely theoretical—it is the exact point from which many real-world attacks originate.
How NDR analyses network traffic in modern environments
- Passive traffic analysis: the NDR sensor captures a copy of network traffic in stealth mode, without installing agents on endpoints or affecting network performance. This is essential in OT environments, where installing an agent on a PLC is simply not feasible.
- Deep packet inspection: in-depth packet inspection reveals content and protocols that a perimeter firewall does not examine. This is where campaigns such as phishing attacks impersonating PagoPA emerge, with traffic circulating in Italy that is difficult to detect using endpoint tools alone.
- Behavioural baselining: the system builds a statistical model of normal traffic for each host and segment. Deviations, however small, trigger an alert before the damage spreads.
- Real-time anomaly detection: by comparing each traffic flow against the baseline, NDR identifies lateral movement, data exfiltration and command-and-control communications, including during malicious campaigns that intensify in Italy as early as the first days of September.
Why automated response is critical in IT, OT and IoT networks
In an industrial network, every second of delay in responding to an incident can translate into production downtime. When IoT devices and OT systems communicate using proprietary protocols and intermittent connectivity, a human operator cannot react quickly enough. Automated response enables a compromised segment to be isolated without disrupting adjacent processes: production continues while the risk is contained. Even when connectivity is degraded, response logic remains operational locally, ensuring protection without relying on a remote control centre.
Extended visibility, reduced risk and business continuity: tangible benefits
- Full coverage of segments where agents cannot be deployed: OT devices, IoT devices and legacy systems are monitored without installing software, eliminating structural blind spots.
- Reduced dwell time: real-time behavioural detection reduces the number of days an attacker remains within the network, limiting the time available to cause damage.
- Direct support for compliance: continuous visibility supports audit trails and the mapping of traffic flows between suppliers, providing practical support for NIS2 and the reporting obligations under the EU Cyber Resilience Act, effective from 11 September 2026.
- Resilience even when offline: local response does not depend on cloud connectivity, ensuring protection even in environments with unstable network infrastructure.
How NDR analyses network traffic in modern environments
- Passive traffic analysis: The NDR sensor copies traffic in stealth mode, without installing agents on endpoints and without affecting network performance. This is essential in OT environments where installing an agent on a PLC is simply impractical.
- Deep packet inspection: In-depth packet inspection reveals content and protocols that a perimeter firewall does not examine. This is where campaigns such as the PagoPA impersonation phishing scheme come to light—a scheme active in Italy where traffic is difficult to intercept using endpoint tools alone.
- Behavioral baseline: The system builds a statistical model of normal traffic for each host and segment. Even the slightest deviations trigger an alert before the damage spreads.
- Real-time anomaly detection: By comparing each data flow to the baseline, the NDR identifies lateral movement, data exfiltration, and command-and-control activity—even during malicious campaigns that have been intensifying in Italy since early September.
Typical use cases: hybrid and distributed environments, and critical infrastructure
| Sector / Scenario | Main challenge | Specific value of NDR |
|---|---|---|
| Manufacturing and legacy OT | Industrial protocols that EDR cannot handle; production lines operating around the clock | Passive, agentless visibility; local isolation of the compromised segment without stopping the process |
| Smart cities and intelligent infrastructure | Networks distributed across large geographical areas; variable or intermittent connectivity | Autonomous operation even when offline; anomaly detection without a connection to the control centre |
| Public sector and public administration | Distributed architectures; stringent governance and privacy requirements | NIS2 compliance through full visibility into internal traffic, without exposing data outside the perimeter |
| Hybrid IT/OT/IoT networks | Mixed environments with heterogeneous devices and legacy systems that cannot be patched | Agentless coverage across all nodes, including devices that cannot be managed using traditional software |
NDR, SOC e SIEM: come si integrano nei processi di incident response
The SIEM collects logs, and the SOC analyzes them: both depend on the quality of the incoming telemetry. NDR, SOC and SIEM: how they integrate into incident response processes. The SIEM collects logs, and the SOC interprets them: both depend on the quality of the incoming telemetry. NDR addresses this blind spot by enriching the data stream with behavioural evidence from network traffic that logs alone cannot provide. The practical result is more accurate alert prioritisation: analysts receive signals that already have context, spend less time on false positives and make containment decisions faster. This measurable detection capability is also a criterion that cyber insurers now use to assess an organisation’s risk profile.
Frequently Asked Questions About NDRs
What is the main difference between NDR, EDR and SIEM?
NDR analyses network traffic continuously and without agents installed on endpoints, whereas EDR covers individual devices and SIEM correlates logs already produced by other sources. The firewall operates on predefined rules and does not detect anomalous behaviour in internal flows. These distinctions are concrete: the gaps left by EDR and SIEM are the exact point from which many real attacks originate, including ransomware that is growing steadily in Italy.
How does NDR monitor OT and IoT devices without installing software on them?
The NDR sensor copies traffic in stealth mode, observing flows passively without installing any agent on endpoints and without affecting network performance. This approach is essential in OT environments, where installing an agent on a PLC is simply not feasible. As a result, legacy devices and systems that cannot be patched are also monitored without structural blind spots.
Why is automatic response so important in industrial networks?
In industrial networks, a human operator is not able to react with the necessary speed when IoT devices and OT systems communicate using proprietary protocols and intermittent connectivity. Automatic response makes it possible to isolate a compromised segment without interrupting adjacent processes, ensuring operational continuity. Even in scenarios with degraded connectivity, the response logic remains active locally, without depending on a remote centre.
How does NDR support compliance with NIS2 and the Cyber Resilience Act?
Continuous visibility over network traffic feeds audit trails and the mapping of flows between suppliers, both of which are operational requirements under NIS2 and the reporting obligations of the European Cyber Resilience Act, in force from 11 September 2026. This all happens without exposing data outside the organisation’s perimeter, a requirement that is particularly relevant for the public sector and government bodies.
How does NDR improve the work of SOC analysts?
NDR enriches the SIEM data stream with behavioral evidence from network traffic that logs alone cannot provide, closing a structural blind spot. Analysts receive contextualized signals, spend less time on false positives and make containment decisions faster. This measurable detection capability is also the criterion cyber insurance companies use to assess an organization’s risk profile.
