Network detection and response (NDR) is a burgeoning field of cybersecurity that allows organizations to monitor network traffic for malicious actors and suspicious behavior, and to react and respond to the detection of cyber threats to the network. NDR solutions continuously monitor and analyze raw business network traffic to generate a baseline of normal network behavior. When suspicious network traffic patterns are detected that deviate from this baseline, NDR tools alert security teams to the potential presence of threats in their environment. To fully understand the importance of network security, consider the simple but powerful fact that 99% of cyberattacks traverse the network in some way.
As a result, networks contain important information about imminent threats, so 43% of organizations use network traffic analysis (NTA) as the first line of defense for threat detection. Attackers cannot disable network data captured as part of connections between devices and systems in the same way as records. As a result, any group that wants to improve their overall threat detection and incident response should consider network detection and response (NDR) as a fundamental part of their strategy. Improve rule-based detection with machine learning technology to model the behavior of network entities and contextually identify anything that resembles known attack techniques.
Using an out-of-band network mirror port or virtual touch, NDR solutions passively capture network communications and apply advanced techniques, such as behavioral analysis and machine learning, to identify known and unknown attack patterns. For cost reasons, they may also lack the breadth of coverage and historical detail necessary for effective detection and response or for forensic investigation. This helped address the challenge of detecting threats in network data, commonly referred to as network flows. In addition to detecting sophisticated attacks that work discreetly and employ evasive techniques, NDR solutions offer the ability to automatically respond to serious attacks using native controls and stop an attack in real time.
The effective use of AI can then boost the detection of attackers in real time and conduct conclusive investigations of incidents. Network Detection and Response (NDR) is a cybersecurity solution that ingests network traffic and uses machine learning to detect malicious activities and understand security risks and exposure. According to 451 Research, network visibility detection and response was the second leading technology planned for implementation in the next 6 to 24 months. They avoid the avalanche of uninteresting, low-fidelity alerts, since they don't detect anomalies, but instead detect active attacks.
Today's threats require deep network visibility and actionable information that helps security teams respond more quickly. Security teams can see what users are on their network, what devices they are interacting with, where they are accessing the network from, and what type of data they share. While not all NDR solutions decrypt network traffic, more advanced solutions offer secure decryption capability to help identify threats lurking in encrypted traffic. Gartner states that “applying machine learning and other analytical techniques to network traffic helps companies detect suspicious traffic that other security tools lack.
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