NDR Meaning: What is NDR? Definition & Explanation

What is Network Detection and Response (NDR)?

Network Detection and response (NDR) is a cybersecurity solution that continuously monitors an organization’s network to detect cyber threats & anomalous behavior using non-signature-based tools or techniques and responds to these threats via native capabilities or by integrating with other cybersecurity tools/solutions.

How does Network Detection and Response work?

Network Detection and response (NDR) is a cybersecurity solution that continuously monitors an organizations network by collecting all network traffic for unprecedented visibility and using behavioral analytics, machine learning & artificial intelligence to detect cyber threats & anomalous behavior and respond to these threats via native capabilities or by integrating with other cybersecurity tools/solutions.

Highly performant NDR solutions use advanced machine learning and artificial intelligence tools to model adversary tactics, techniques and procedures that are mapped in the MITRE ATT&CK framework to detect attacker behaviors with high precision. They surface security-relevant context, extract high-fidelity data, correlate events across time, users, and applications to drastically reduce time and effort spent in investigations. They also stream security detections and threat correlations to security information event management (SIEM) solutions for comprehensive security assessments.    

NDR solutions move beyond merely detecting threats, to, responding to threats in real-time by native controls or by supporting a wide-range of integrations with other cybersecurity tools or

solutions like security orchestration, automation, and response (SOAR).

Why does my organization need Network Detection and Response?

NDR plays a pivotal role in securing your digital infrastructure.

Threat history is generally available in three places: network, endpoint and logs.

  • Endpoint Detection and Response (EDR) provides a detailed ground-level view of the processes running on a host and interactions between them.
  • NDR provides an aerial view of the interactions between all devices on the network.
  • Security teams then configure SIEMs to collect event log information from other systems and correlate between data sources.

Security teams that deploy these tools are empowered to answer a broad range of questions when responding to an incident or hunting for threats.

For example, they can answer: What did this asset or account do before the alert? What did it do after the alert? Can we find out when things started to turn bad?

Of this group, NDR is most critical because it provides perspective where the others cannot.

For example, exploits that operate at the BIOS level of a device can subvert EDR or malicious activity may simply not be reflected in logs.  But their activity will be visible by network tools as soon as they interact with any other system through the network.

Or advanced and sophisticated attackers use hidden encrypted HTTPS tunnels, that blend in with regular traffic, to launch a command and control (C2) session and use the same session to exfiltrate sensitive business and customer data and evade perimeter security controls but NDR solutions are extremely adept at detecting these behaviors

Effective AI-driven network detection and response platforms collect and store the right metadata and enrich it with AI-derived security insights.

Effective use of AI can then drive the detection of attackers in real-time and perform conclusive incident investigations.

What are the benefits of Network Detection and Response?

Network Detection and Response cybersecurity solutions provide continuous visibility across all users, devices and technologies connected to the network, from data center to the cloud, from campus users to work from home users, from IaaS to SaaS, and from printers to IoT devices.

Leading NDR solutions use behavioral analytics and ML/AI to directly model attacker behaviors and detect advanced and persistent attacks with surgical precision. They avoid the deluge of low-fidelity and uninteresting alerts since they don’t detect anomalies, but rather, detect active attacks. They provide detection coverage for several phases of an attack lifecycle, including persistence, privilege escalation, defense evasion, credential access, discovery, lateral movement, data collection, C2 and exfiltration.

Leading AI-driven NDR solutions are automatic and dramatically improve security detections and security operations center (SOC) operational efficiency despite organizations and teams being plagued by a chronic shortage of cybersecurity expertise & personnel by offering full attack reconstructions in natural language that provide analysts, all the information they need to act on alerts quickly and completely.

In addition to detecting sophisticated attacks that operate discreetly and employ evasive techniques, NDR solutions offer the ability to automatically respond to serious attack via native controls and shut down an attack in real-time. Additionally they integrate with several cybersecurity products like EDR or cybersecurity solutions like SOAR.

Get to know more about Vectra’s AI Network Detection and Response Platform.

Vectra Cognito is a threat detection and response platform that uses artificial intelligence to detect attacker behavior and protect both hosts and users from being compromised. Vectra Cognito provides high fidelity alerts and does not decrypt data so you can be secure and maintain privacy whether that’s in the cloud, data center, enterprise networks, or IoT devices.

The Cognito platform for NDR is in 100% service of detecting and responding to attacks inside cloud, data center, IoT, and enterprise networks. Our job is to find and stop those attacks early and with certainty. The Cognito platform meets SOC 2 Type 2 compliance standards, ensuring the security and confidentiality of our partners' and customers' data.

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