In recent years, cyber threats have evolved beyond targeting endpoints alone, now move silently across enterprise networks. According to the IBM Cost of a Data Breach Report 2025, the global average cost of a data breach has exceeded US$4 million, while lateral movement and credential theft remain among the primary reasons organizations experience delayed incident detection. This highlights the need for organizations to gain comprehensive visibility into network activity rather than relying solely on endpoint protection.
At the same time, digital transformation, cloud adoption, the rapid growth of IoT devices, and the increasing volume of encrypted traffic have made traditional security approaches less effective at identifying hidden threats. This is why Network Detection and Response (NDR) has seen widespread adoption among enterprises worldwide. Unlike conventional cybersecurity solutions, NDR analyzes network traffic in real time to identify abnormal activity, accelerate investigations, and enable security teams to respond to threats before they escalate into major security incidents.
If Endpoint Detection and Response (EDR) focuses on endpoint devices, NDR monitors all network traffic to uncover threats that bypass endpoint defenses, including communication between servers, IoT devices, cloud workloads, and encrypted traffic. It combines Artificial Intelligence (AI), Machine Learning (ML), behavioral analytics, and network telemetry to understand an organization’s normal communication patterns. When anomalous behavior is detected—such as lateral movement, command-and-control (C2) activity, data exfiltration, or the use of unusual protocols—the system generates alerts while providing valuable context for investigation.
Why NDR Crucial?
An organization’s attack surface continues to expand as cloud computing, hybrid workforces, SaaS applications, IoT devices, and AI become increasingly prevalent. As a result, network traffic has become significantly more complex, making it difficult for conventional security approaches to provide comprehensive visibility.
Furthermore, most modern network communications are now encrypted using SSL/TLS, making security inspection increasingly challenging. Cybercriminals exploit encrypted traffic to conceal malware, steal sensitive data, and move laterally within enterprise environments without detection.
NDR addresses one of today’s most critical security gaps by continuously monitoring network traffic in real time, including east-west traffic within internal environments, while reducing blind spots across hybrid and multi-cloud infrastructures. It provides complete visibility into:
- Lateral movement performed by attackers after they breach the initial perimeter, enabling them to move from one system to another to expand access and strengthen their foothold within the network.
- Command-and-control (C2) communications that allow attackers to remotely control malware deployed inside the network, often disguising malicious traffic as legitimate communications.
- Data exfiltration, where sensitive corporate information is transferred outside the network, frequently in small volumes designed to evade detection.
- Activity within encrypted traffic that cannot be inspected by conventional security tools without advanced decryption capabilities.
As ransomware, Advanced Persistent Threats (APTs), and insider threats continue to grow in sophistication, NDR is no longer an optional enhancement for mature cybersecurity programs—it has become an essential component of modern enterprise security.
How NDR Works?
NDR uses behavioral analytics to inspect raw network packets and metadata from both internal and external network communications. In general, NDR operates through the following stages.
1. Collecting Network Data
NDR begins by capturing metadata and packet data from strategically positioned switches, routers, firewalls, servers, cloud environments, IoT devices, and virtual machines (VMs) across critical points within the network. Traffic is mirrored without affecting network performance, either through network aggregation points or via cloud provider APIs integrated with cloud infrastructure. Raw network packets, traffic flow metadata, and protocol information are collected across the monitored environment.
2. Building a Baseline of Normal Behavior
Once the data has been collected, NDR establishes a behavioral baseline by learning the normal communication patterns of every device, user, application, and server. This baseline is created using Machine Learning (ML), which analyzes traffic patterns, communication volume, timing, protocols, and other behavioral characteristics over an observation period. The baseline continuously adapts as normal business operations evolve over time.
3. Threat Detection and Anomaly
With the behavioral baseline established, NDR continuously compares live network traffic against expected patterns. When activities deviate from the baseline—such as communication with malicious IP addresses, unusually large data transfers, brute-force attacks, ransomware behavior, or lateral movement where the system automatically generates alerts that are prioritized based on confidence and risk levels.
4. Automatic Investigation
Unlike traditional alerts that simply notify security teams of abnormal events, NDR provides rich investigative context, including the attack source, activity timeline, IP addresses, targeted assets, associated user identities, affected devices, attack paths, and impacted systems. This context enables security analysts to quickly understand the nature of a threat without having to start investigations from scratch.
5. Response
In addition to threat detection, modern NDR solutions integrate with Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR), Endpoint Detection and Response (EDR), firewalls, and other security platforms to automate mitigation actions, block malicious communications, or initiate predefined incident response playbooks. These response capabilities, tightly integrated with the broader security ecosystem, distinguish modern NDR platforms from earlier-generation Network Traffic Analysis (NTA) solutions.
Why Are EDR and Antivirus No Longer Sufficient to Protect Enterprise Network Security?
As cyber threats become increasingly sophisticated, organizations require security solutions capable of delivering comprehensive protection across the entire IT environment. While Endpoint Detection and Response (EDR) and antivirus solutions remain important components of cybersecurity, they are no longer sufficient to protect today’s enterprise networks or eliminate critical security gaps.
The Problems
For years, organizations have relied on antivirus software and EDR as their primary defense against cyberattacks targeting endpoint devices. These technologies effectively detect malware and malicious activities occurring on endpoints such as laptops and servers.
However, many connected devices cannot support endpoint agents. These include IoT devices such as surveillance cameras, printers, industrial control systems, medical devices, smart building systems, and network infrastructure components like switches and routers. Meanwhile, cloud adoption, remote work, and IoT expansion have significantly broadened the attack surface beyond the monitoring capabilities of traditional endpoint security tools.
At the same time, the threat landscape has fundamentally changed. Many modern attacks no longer rely on traditional malware. Instead, attackers exploit stolen credentials, legitimate system utilities, trusted applications, and lateral movement across unmanaged IoT devices that typically lack security agents. As a result, malicious activities can persist without triggering alerts from either antivirus software or EDR solutions
The Complication
These unmanaged devices create some of the most significant blind spots in enterprise security. Once attackers gain access to the network, they can perform reconnaissance, leverage built-in operating system tools for lateral movement, abuse compromised credentials, exfiltrate sensitive data, take over privileged administrator accounts, encrypt command-and-control (C2) communications, and ultimately deploy ransomware. Many of these activities become visible only through network communication patterns rather than endpoint telemetry.
Furthermore, modern attackers deliberately avoid signature-based detection. From an EDR perspective, they often appear to be legitimate users operating legitimate administrative tools. Detecting these attacks requires deep analysis of network behavior—for example, identifying a user who suddenly accesses dozens of servers, unusually large volumes of outbound data transfers, or communications with previously unseen IP addresses.
This is precisely why NDR has become an essential complement to EDR and antivirus solutions. It fills the visibility gaps across the network that endpoint-based security technologies simply cannot provide.
Benefits of NDR
NDR implementation provides comprehensive network visibility, rapid threat detection, efficient incident response, and an improved security posture through continuous monitoring and behavioral analytics. Below are the key strategic benefits that NDR delivers to organizations.
Comprehensive Network Visibility
NDR provides complete visibility into all network traffic—not only at the perimeter but also across internal networks, including hybrid cloud environments. This minimizes blind spots while delivering real-time insights that enable organizations to detect threats, respond to incidents, and meet compliance requirements by monitoring who is communicating with whom, when, over which protocols, and at what volume.
Faster and More Accurate Threat Detection
Powered by AI, behavioral analytics, and Machine Learning (ML), NDR can detect zero-day threats and identify suspicious behavior even before malware becomes active. Modern NDR solutions also significantly reduce the number of false positives that overwhelm Security Operations Center (SOC) alert queues.
Identify Lateral Movement
NDR is highly effective at detecting attacker movement from one system to another within the network.
Accelerated Incident Investigation
When a security incident occurs, the quality and speed of the investigation depend heavily on the availability of comprehensive evidence. NDR retains historical network metadata, enabling SOC teams to obtain complete context and perform retrospective forensic analysis to understand what occurred before the incident was detected, trace how attackers moved through the network, and accelerate the overall investigation process.
Reducing False Positives
Machine Learning helps prioritize threats that present genuine business risk, allowing security teams to focus on high-priority incidents.
Supporting Regulatory Compliance
Comprehensive network visibility helps organizations meet audit requirements and information security regulations through continuous monitoring and effective threat detection. NDR provides auditable logs and evidence that support regulatory compliance and security governance initiatives.
Securing Hybrid Environment
NDR provides unified visibility across both on-premises and cloud environments through a single platform.
Why You Need NDR Solutions?
NDR has become a foundational layer of cybersecurity, enabling organizations to detect, investigate, and respond to threats that traditional security tools often fail to identify. As businesses accelerate cloud adoption, expand remote work, and embrace IoT and AI technologies, network environments become increasingly dynamic and complex, creating blind spots that attackers exploit through encrypted traffic, lateral movement, and increasingly sophisticated attack techniques.
At the same time, modern organizations face security challenges far greater than those of just a few years ago. The number of endpoints continues to grow, cloud adoption is expanding rapidly, encrypted traffic is increasing, IoT deployments are accelerating, and AI-powered cyberattacks are evolving at an unprecedented pace.
Under these conditions, organizations require a security solution that delivers complete visibility across all network activity without relying on agents installed on every device. NDR complements existing investments in EDR, firewalls, SIEM, and SOC operations, enabling organizations to detect threats earlier, accelerate incident response, and reduce the risk of data breaches.
NDR enables organizations to secure hybrid infrastructures operating in highly regulated industries, protect unmanaged devices that cannot support endpoint agents, defend against advanced cyber threats, and improve SOC efficiency. To help organizations achieve these capabilities, ExtraHop RevealX delivers an Agentic AI-powered NDR solution designed to strengthen enterprise network security.
Read More: Why Legacy Enterprise Network Security Can No Longer Withstand Modern Attacks? Check Here
ExtraHop RevealX: An Agentic AI-Powered NDR Solution for Enterprises
ExtraHop RevealX is a next-generation Network Detection and Response (NDR) platform that combines network observability, Artificial Intelligence (AI), Machine Learning (ML), and Agentic AI to help organizations detect threats that traditional security solutions often miss.
One of ExtraHop’s core differentiators is The Definitive Threat Visibility with Flexible Deployment Options and Advanced Data Control, delivering deep network visibility without requiring endpoint agents. This enables organizations to monitor all network communications comprehensively while maintaining operational flexibility.
Key capabilities of ExtraHop RevealX include:
- Agentless network analysis.
- Real-time decryption of SSL/TLS 1.3, Kerberos, and SMBv3 traffic without impacting network performance.
- Flexible deployment across on-premises data centers, hybrid cloud, and public cloud environments.
- Advanced data control capabilities that support regulatory compliance and data localization requirements.
Unlike endpoints, which attackers can disable, manipulate, or erase logs from, the network continuously records communication activity. This is why a network-centric security approach delivers significantly greater visibility into attacker behavior.
According to the Forrester Total Economic Impact™ Report, organizations implementing ExtraHop RevealX have achieved:
- Up to a 50% reduction in threat detection time.
- Up to an 84% improvement in incident resolution time.
- Greater SOC efficiency through automated investigations.
- Elimination of blind spots that conventional endpoint security solutions cannot observe.
Strengthen Cyber Threat Visibility with ExtraHop and Virtus
As cyberattacks continue to increase in sophistication, organizations need more than antivirus or EDR alone. Comprehensive visibility into network activity has become the foundation for detecting threats earlier, accelerating investigations, and minimizing the business impact of security incidents.
ExtraHop RevealX delivers an Agentic AI-powered NDR solution that enables organizations to detect threats in real time, reduce security blind spots, and meet operational and compliance requirements through flexible deployment options. As part of the CTI Group, Virtus helps organizations strengthen their cybersecurity strategy with deep network visibility and advanced threat detection capabilities.
Schedule a consultation with Virtus’s expert team today to discover an NDR architecture tailored to your business requirements and industry-specific regulatory needs.
Author: Ervina Anggraini – Content Writer CTI Group