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Network detection and response (NDR) refers to a category of network security products that detect abnormal system behaviors by continuously analyzing network traffic. NDR solutions apply behavioral analytics to inspect raw network packets and metadata for both internal (east-west) and external (north-south) network communications. [1]
NDR is delivered through a combination of hardware and software sensors, along with a software or SaaS management console. Organizations use NDR to detect and contain malicious post-breach activity, such as ransomware, as well as insider attacks. NDR focuses on identifying abnormal behavior patterns and anomalies rather than relying solely on signature-based threat detection. This allows NDR to spot weak signals and unknown threats from network traffic, like lateral movement or data exfiltration. [1]
NDR provides visibility into network activities to identify anomalies using machine learning algorithms. The automated response capabilities can help reduce the workload for security teams. NDR also assists incident responders with threat hunting by supplying context and analysis. [1]
Deployment options include physical or virtual sensors. Sensors are typically out-of-band, positioned to monitor network flows without impacting performance. Cloud-based NDR options integrate with IaaS providers to gain visibility across hybrid environments. Ongoing tuning helps reduce false positives. NDR competes against broader platforms like SIEM and XDR for security budgets. [1]
Key capabilities offered by NDR solutions include: Real-time threat detection through continuous monitoring, Rapid incident response workflows to minimize damage, Reduced complexity versus managing multiple point solutions, Improved visibility for compliance and risk management, Automated detection and response, Endpoint and user behavior analytics, Integration with SIEM for centralized monitoring. [2]
The origins of NDR trace back to network traffic analysis (NTA) solutions that emerged around 2019. NTA provided greater visibility into network activities to quickly identify and respond to potential threats. [2]
By 2020, NTA adoption was growing for real-time threat detection. That year, a study found 87% of organizations used NTA, with 43% considering it a "first line of defense." The NTA market was valued at US$2.9 billion in 2022, and expected to reach US$8.5 billion by 2032. NTA evolved into NDR as a distinct product category. NDR combined detection capabilities with incident response workflows. This enabled detecting and reacting to threats across networks in real-time. [2]
Major attacks like WannaCry in 2017 and the SolarWinds breach in 2020 highlighted the need for solutions like NDR. Traditional perimeter defenses and signature-based tools proved insufficient against modern threats. [2]
The use of artificial intelligence in NDR tools is growing, as security teams explore AI's potential to enhance NDR capabilities. Key AI use cases for NDR include: [3]
According to Gartner, NDR vendors include Cisco, Corelight, Darktrace, ExtraHop, Fortinet, IronNet, MixMode, Plixer, Trend Micro, Trellix, Vectra AI. [1]
An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Any intrusion activity or violation is typically either reported to an administrator or collected centrally using a security information and event management (SIEM) system. A SIEM system combines outputs from multiple sources and uses alarm filtering techniques to distinguish malicious activity from false alarms.
Fortinet, Inc. is a cybersecurity company with headquarters in Sunnyvale, California. The company develops and sells security solutions like firewalls, endpoint security and intrusion detection systems. Fortinet has offices located all over the world.
Network behavior anomaly detection (NBAD) is a security technique that provides network security threat detection. It is a complementary technology to systems that detect security threats based on packet signatures.
Splunk Inc. is an American software company based in San Francisco, California, that produces software for searching, monitoring, and analyzing machine-generated data via a web-style interface. Its software helps capture, index and correlate real-time data in a searchable repository, from which it can generate graphs, reports, alerts, dashboards and visualizations.
TriGeo Network Security is a United States–based provider of security information and event management (SIEM) technology. The company helps mid market organizations proactively, protects networks and data from internal and external threats, with a SIEM appliance that provides real-time log management and automated network defense - from the perimeter to the endpoint.
Database activity monitoring is a database security technology for monitoring and analyzing database activity. DAM may combine data from network-based monitoring and native audit information to provide a comprehensive picture of database activity. The data gathered by DAM is used to analyze and report on database activity, support breach investigations, and alert on anomalies. DAM is typically performed continuously and in real-time.
Security information and event management (SIEM) is a field within the field of computer security, where software products and services combine security information management (SIM) and security event management (SEM). SIEM is the core component of any typical Security Operations Center (SOC), which is the centralized response team addressing security issues within an organization.
ExtraHop is a cybersecurity company providing AI-based network intelligence that stops advanced threats across cloud, hybrid, and distributed environments.
An information security operations center is a facility where enterprise information systems are monitored, assessed, and defended.
Datadog, Inc. provides an observability and security SaaS platform for cloud applications. The platform helps corporations monitor servers, databases, software tools, and infrastructure services.
Threat Intelligence Platform (TIP) is an emerging technology discipline that helps organizations aggregate, correlate, and analyze threat data from multiple sources in real time to support defensive actions. TIPs have evolved to address the growing amount of data generated by a variety of internal and external resources (such as system logs and threat intelligence feeds) and help security teams identify the threats that are relevant to their organization. By importing threat data from multiple sources and formats, correlating that data, and then exporting it into an organization’s existing security systems or ticketing systems, a TIP automates proactive threat management and mitigation. A true TIP differs from typical enterprise security products in that it is a system that can be programmed by outside developers, in particular, users of the platform. TIPs can also use APIs to gather data to generate configuration analysis, Whois information, reverse IP lookup, website content analysis, name servers, and SSL certificates.
Vectra AI, Inc. is a cybersecurity company that uses AI for hybrid attack detection, investigation, and response (NDR) solutions. The company was established in 2012 and operates in 113 countries from its San Jose, California headquarters.
Endpoint security or endpoint protection is an approach to the protection of computer networks that are remotely bridged to client devices. The connection of endpoint devices such as laptops, tablets, mobile phones, Internet-of-things devices, and other wireless devices to corporate networks creates attack paths for security threats. Endpoint security attempts to ensure that such devices follow a definite level of compliance to standards.
The Co-Managed IT security service model entails security monitoring, event correlation, incident response, system tuning, and compliance support across an organization's entire IT environment. Co-Management allows organizations to collaborate with their managed security service providers by blending security expertise of the provider with the contextual knowledge of the customer to optimise security posture.
Cyber threat hunting is a proactive cyber defence activity. It is "the process of proactively and iteratively searching through networks to detect and isolate advanced threats that evade existing security solutions." This is in contrast to traditional threat management measures, such as firewalls, intrusion detection systems (IDS), malware sandbox and SIEM systems, which typically involve an investigation of evidence-based data after there has been a warning of a potential threat.
Endpoint detection and response (EDR), also known as endpoint threat detection and response (ETDR), is a cybersecurity technology that continually monitors an "endpoint" to mitigate malicious cyber threats.
Extended detection and response (XDR) is a cybersecurity technology that monitors and mitigates cyber security threats.
Security orchestration, automation and response (SOAR) is a group of cybersecurity technologies that allow organizations to respond to some incidents automatically. It collects inputs monitored by the security operations team such as alerts from the SIEM system, TIP, and other security technologies and helps define, prioritize, and drive standardized incident response activities.
Breach and attack simulation (BAS) refers to technologies that allow organizations to test their security defenses against simulated cyberattacks. BAS solutions provide automated assessments that help identify weaknesses or gaps in an organization's security posture.
Identity threat detection and response (ITDR) is a cybersecurity discipline that includes tools and best practices to protect identity management infrastructure from attacks. ITDR can block and detect threats, verify administrator credentials, respond to various attacks, and restore normal operations. Common identity threats include phishing, stolen credentials, insider threats, and ransomware.
