WHAT IS NETWORK DETECTION AND RESPONSE (NDR)?
Network detection and response (NDR) supplies a critical component of cybersecurity infrastructure in many enterprises and government agencies. Learn about its capabilities, use cases and what to look for in an NDR solution that will benefit your organization.
What is network detection and response?
Network detection and response (NDR) is a cybersecurity technology that continuously monitors network traffic from physical and cloud-based environments. NDR solutions include extended visibility, enriched network data, detection, threat hunting, forensics and response capabilities. These solutions are often delivered as a combination of physical, virtual, software, and cloud appliances. It enables security teams to more quickly detect adversary activity and respond to security incidents.
Why are NDR deployments increasing?
Novel, sophisticated cyber threats, Dark AI and advanced persistent threats (APTs) present organizations with a hard truth: preventative security tools, while essential, are not foolproof. Security research confirms that adversaries who evade security controls often persist in their networks for extended periods before they fully execute their objectives. Evolving security models, notably Zero Trust, are founded on the premise that a breach of the system has already occurred and that the network is not fully controlled. Without visibility into the network, security teams have an incomplete picture of the environment they must protect and little chance of detecting adversarial activity behind their firewalls.
Network detection and response platforms close this critical visibility gap by providing enriched telemetry about how hosts, services, and apps are functioning and communicating with each other in comprehensive formats. The solution is gaining interest across various industries, especially government/public sector, finance and energy, as organizations with mature security processes seek enhanced network visibility. Organizations are also leveraging NDR to support additional use cases, such as monitoring IaaS and SaaS environments and OT/IoT convergence.
NDR providers leverage the extended detection and response (XDR) value proposition and drive more value by effectively integrating with endpoint detection and response (EDR) solutions and other security tools to offer improved detection and incident response capabilities across the modern SOC’s security stack.
The case for modern network detection and response:
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The basics of network detection and response
Data collection
Network detection and response monitors traffic in real-time from a variety of sources, including network firewalls, cloud packet mirrors, SPAN ports and virtual and physical Test Access Points (TAPs). It collects and logs data related to network activity and structures it into detailed, correlated logs enriched with environmental data like system/service identification, etc. for further analysis in a security information and event management (SIEM) or threat investigation platform.
Traffic monitoring in any environment
NDR can deploy to hybrid and multi-cloud, on-premises, and air-gapped environments to provide security teams with a complete and integrated view of network activity. SOCs can observe north/south (intranet/Internet) and east/west (lateral) traffic, traffic from remote users, encrypted traffic telemetry, OT/ICS systems and more. An NDR platform typically deploys a mix of hardware sensors, cloud sensors, software sensors and virtual sensors tailored to the specifics of the organization’s infrastructure. With many organizations migrating to cloud environments, network detection and response provides the deep network analytics and insights cloud security solutions, such as CSPM and CWPP, do not supply because of their reliance on VPC flow logs.
Detections and incident response
Network detection and response platforms typically incorporate a range of detection capabilities, including signature-based intrusion detection systems (IDS) and file analysis, such as YARA, anomaly-based and Machine Learning (ML) models. They may also build threat intelligence into an analytics engine that can help identify threats and support real-time response. NDR dashboards and AI-assisted summaries can help SOC analysts at all skill levels understand, contextualize, investigate and resolve network-based alerts with increased efficiency. SOCs can also use network detection and response to script custom alerts tailored to the environments they protect and create unique detection capabilities that adversaries do not expect.
Intuitive NDR dashboards can accelerate investigation and incident response.
Long-term package capture (PCAP) and storage for improved forensics
Best-in-class NDR platforms can optimize packet capture (PCAP) to capture only the relevant traffic, which reduces the expense of storage and allows investigators to review network events over longer periods of time.
Why is network detection and response so valuable?
After decades of work and billions of dollars in investments, there is still no way to “keep the bad actors out” every time.
Cybercriminals continue to succeed because they create new, more sophisticated tactics, techniques and procedures (TTPs) that evade defenses such as firewalls and endpoint detection and response (EDR). Once attackers access the network, these tools do not have the capabilities to track their movements. “You can’t defend what you can’t see” is still an immutable fact of cybersecurity — and it’s also a core argument for NDR.
There are other considerations. Organizations have interconnected and unmanaged endpoints and IoT devices that expand networks, and more data streams than ever before. This can create additional security monitoring challenges, including:
- Excessive, noisy alerts that overwhelm SOCs
- False positives and incomplete analysis that waste resources and miss actual patterns of intruder activity
- Incomplete datasets or non-standardized data collection, which can slow down and degrade analysis
- Attackers exploit normal traffic patterns, tools and applications to “blend in” and evade detection, often for weeks or months after an initial breach.
The silver lining is that attackers are human and also make mistakes. Discovering their presence and activities often only requires finding a single clue from which a broader attack pattern is revealed.
But to bring those clues across their dashboards, SOC teams need to consistently collect and synthesize evidence. NDR’s core function is to observe and make sense of all network traffic, whether it comes from a cloud, a Kubernetes cluster, a data center, an OT system or elsewhere. Network data contains immutable clues about the nature and behavior of devices, applications and assets. Delivering those clues to analysts and threat hunters in a timely, contextualized format is the core force-multiplier that NDR can deliver.
Many SOCs rely on EDR to provide coverage in depth and SIEM for aggregation and analysis. In the face of advanced persistent threats (APTs) and novel attack patterns, this combination lacks the breadth of coverage — specifically, insights from the network — that SOCs need for comprehensive defense. NDR supplies a critical last piece of the defense equation, which is often represented as the SOC Visibility Triad.
Organizations that can’t monitor their networks 24/7 and keep relevant evidence on hand for months (or ideally years) operate at a huge disadvantage. The network is still the “ultimate source of truth” that provides the clues blue teams need for quick incident detection and resolution and proactive threat hunting.
Network detection and response benefits
NDR BENEFIT | Context |
---|---|
Complete network visibility |
Threats can originate from any part of a digital environment. Organizations monitoring complex and multi-faceted networks (such as multi-cloud and hybrid) must be able to visualize activity to and from all entities, assets and services to create a clear picture for effective incident response, threat detection, asset management, breach disclosure and network operations. |
Enriched detections |
NDR platforms can integrate a wide range of attack and signature collections, as well as MITRE ATT&CK® TTPs and other sources of threat intelligence. |
Accelerated incident response |
Siloed data sources and tool sprawl can slow down threat detection and response. An NDR platform can present contextualized evidence for faster triage and integrated response capabilities like host isolation, automated ticket generation, etc. |
Consolidated security tool sets |
NDR can incorporate the functionality of legacy IDS systems, file analysis systems and packet capture systems to help SOCs streamline their triage processes, which can increase efficiency and ROI. |
NDR innovations in generative AI and machine learning
Network detection and response platforms have incorporated large language models (LLMs) and other elements of artificial intelligence (AI) and machine learning (ML) to help detect advanced threats, streamline alert triage and provide analysts with instructions and suggestions at many stages of their investigations.
AI-enhanced data collection and alerting helps the network detection and response platform condense large volumes of data, which can significantly improve detection capabilities and help SOCs anticipate, detect and neutralize threats before they have a consequential impact on the organization.
Additionally, ML models continue to ingest and learn from new datasets, which can help SOCs write and tune detections and update and the platform’s monitoring capabilities as new threats emerge.
A partial list of security tools for cloud environments includes:
- By generating instructions and contextualized data, AI enables junior analysts to make sense of complex security incidents.
- AI models can automate alert scoring and help SOCs focus on urgent response tasks and decrease alert fatigue.
- Generative AI can suggest next steps in the triage to help SOCs optimize document their response workflows and assist in forensic and compliance review
- AI-assisted analysis can help the SOC refine its conception of normal network activity and only surface anomalies that may indicate adversarial presence.
- Mean time to detect (MTTD) and mean time to respond (MTTR) can improve even in complex, multi-network environments.
- AI capabilities can turn repetitive tasks into automated workflows and allow analysts to pivot to more difficult problems.
- Algorithms in detection systems improve over time by analyzing outcomes and responder feedback.
- Smarter automation strengthens the overall capabilities of the security apparatus.
Components of a network detection and response strategy
When to add NDR
Many organizations still rely on legacy and open-sourced based IDS and network monitoring systems but recognize their shortcomings. Factors to consider before upgrading to network detection and response include:
- The need to defend against sophisticated counterattacks
- Improving security posture after an incident
- Meeting new compliance requirements
- Closing known visibility and security gaps beyond what EDR and SIEMs provide
- Maintaining security across expanding business operations
- Monitoring OT, ICS, IoT and other environments that lack sufficient security controls
Proactive organizations recognize that the salient question about attacks is not if, but when an attack will occur. Network detection and response helps organizations gather and store network data and create forensic vaults in compact formats that enable years-long lookbacks. When security incidents or compliance issues arise, the historical evidence with an extended lookback timeframe will help address questions about attack scope, file access and containment during and after investigations.
The SOC Visibility Triad
NDR’s role in a comprehensive security approach became more prominent when the SOC Visibility Triad, originally proposed by Aton Chuvakin, gained acceptance among security experts. Essentially, the triad emphasizes that visual breadth and depth and aggregation of security tools are necessary to create a complete picture of an organization’s security environment and threat landscape.
- EDR for in-depth visibility of endpoints
- NDR for broad visibility of networks and connections
- SIEM or data lake for storage
It is often challenging or impractical to instrument every endpoint in a large organization or agency with sufficient IT and security infrastructure. Monitoring networks, through strategic placement of sensors, can deliver a broad, comprehensive view of activity in each segment and remove the need for implementing thousands of endpoint monitoring solutions. EDR and NDR data typically route to a SIEM or data lake for storage and further analysis.
The SOC Visibility Quintet
The expansion of cloud networks, applications and identity and access management have brought many security experts to question whether a conceptual expansion of the SOC Visibility Triad is warranted. Jean Schaffer, former CISO of the Defense Intelligence Agency and Corelight’s Federal CTO, has proposed a “quintet” that treats cloud and identity as two additional pillars needed for complete visibility. Other concepts of holistic visibility exist, but most consider EDR and NDR to be essential to a holistic view of the organization.
Instrumenting network detection and response
NDR deployment typically begins by identifying the critical network segments and strategic sensor deployment. Often the process begins with a pilot deployment in a limited environment where the platform is tuned before expanding to its full scope. Most NDR sensors sit out of band, which minimizes disruption within the ecosystemNorth/south deployments
Placing network sensors at north/south access points allows the SOC to monitor data flowing between the internal network and external entities, such as the Internet, cloud services, or OT networks.
SIEM, XDR, EDR, firewall and ecosystem integrations
If SOC teams do the triage centrally in a SIEM, NDR data can be fed into SIEMs or XDR platforms through simple API connections. Other options include doing the triage and storing data in the NDR analytics interface and only feeding triaged data to the SIEM or XDR solutions.
East/west deployments
East/west traffic includes communication between devices connected to the same internal network, such as servers and endpoints. These sensors typically deploy after north/south monitoring has already been established. Location is highly dependent on the specific business needs of the organization and where data transfers are at heaviest volume.
Locations
Network detection and response can deploy to virtual and physical environments including headquarters, automated infrastructure, remote offices and more.
FAQ
- When did the intrusion start? When did it end?
- What was the scope of the intrusion?
- Did the intruder access data stores that held, or may have held sensitive information?
- Are there indications or hard proof that the intruder damaged or stole sensitive information?
- Was the incident response process successful? Has the intruder maintained access or tried to regain access? Have the incident and associated compromises been remediated completely?
- NIST Cybersecurity Framework
- EU’s General Data Protection Program (GDPR)
- OMB M-21-31
- DORA
- FINRA
- NYDFS
- NIS2
While the payloads of encrypted traffic cannot be accessed with decryption, SOCs can use traffic metadata to gain useful insights that aid analysis and risk management. Timestamps, packet sizes and other observable elements can help ensure data is encrypted using the right algorithms to gain visibility into VPN, RDP and SSH channels.
The Encrypted Traffic Collection turns network data flows into rich evidence and useful insights—without decryption—so you can understand and mitigate risk. Combining observable elements, like timestamps and packet sizes, with known behavior of protocols, the ETC offers a practical approach to visibility that lets you see and act on what matters. It also avoids the heavy financial, privacy, and performance costs of decryption.
The price of deployment can vary depending on whether the organization chooses open-source or proprietary NDR and what types of additional service it requires. Most network detection and response products will require a baseline payment for use of the system and additional costs related to data usage. Proprietary NDR typically come with licensing fees that scale with the extent of deployment. There can be additional costs related to customization and technical support.
Why Corelight?
Corelight's Open NDR Platform features unique detections and visibility engineering that are community driven—with continuous content creation from Zeek®, Suricata® IDS, YARA and other sources. Our integration with CrowdStrike XDR enables cross platform (EDR+NDR) analytics. This provides you with the most complete network visibility, powerful analytics, and threat hunting capabilities, and accelerates investigation across your entire kill chain.

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