Build an Effective Network Defence by Using NDR
Identify, Monitor, and Respond to Suspicious Activities.
Network Detection and Response (NDR) enables organizations to monitor network traffic for malicious actors and suspicious behavior, as well as react and respond to the detection of cyber threats to the network.
Why Does Your Company Need NDR?
As companies of all sizes expand their IT infrastructures to foster innovation, expand into new markets and regions, and improve user experience, they are coming to the realization that the security solutions of before are unable to keep up with the challenges of today’s business environment.
A growing number of businesses are turning to network detection and response (NDR) solutions as a supplement to, or perhaps a replacement for, conventional security precautions.
Even while log analysis tools (SIEM) and endpoint detection and response (EDR) have already been widely adopted, and with good cause, a lot of companies still have a blind spot somewhere in their network.
The use of NDR technology does not serve to deter potentially hazardous behavior. Instead, it aims to put an end to any objectionable behavior that is currently being carried out before it has the chance to do any damage. NDR stands out in comparison to EDR owing to the fact that it does not need the usage of an agent in order to get insight into potentially risky conduct. This makes NDR the clear winner in this comparison. In its place, it makes use of a network tap or a virtual tap in order to do traffic analysis across on-premises applications as well as those hosted in the cloud. Agents are used to collecting information by EDR so that researchers may get insight into potentially dangerous conduct.
Main Reasons to Employ an NDR Solution
Cybercrime Is on the Rise
The concept of cybercrime encompasses several different aspects. The majority of attacks are driven by financial gain, but not all of them are. Hackers have a wicked aim in mind, and they will stop at nothing to attain it. This is true regardless of the victim they are attacking.
As a result of this, prevention entails the use of many levels of protection, each of which is comprised of both technological and human components. Having the necessary cybersecurity technologies in your arsenal need to always be complemented by relevant policies and cybersecurity training for your staff members.
The Attack Surface Is Expanding
The term “attack surface” is sometimes confused with “attack vector,” which refers to the means or technique that an intruder uses to obtain access to networks or even endpoints. These kinds of assaults may either be digital or physical in nature.
Attack surfaces may include the vulnerabilities detected in your linked hardware and software environment since they can take place in either a digital or physical landscape. Because of this, in order to maintain the safety of the network, the administrators need to take proactive measures to cut down on the total number of attack surfaces, as well as their size. This is because increasing the amount of code, applications, or even devices that are running on a system raises the total number of vulnerabilities that can be exploited on the system.
The Pitfalls of Traditional Cybersecurity Tools
Purchasing, installing, and servicing your IT equipment locally is the hallmark of a conventional approach to IT architecture. For a significant amount of time, companies have relied on the conventional information technology architecture to gather, store, and analyze data for a variety of purposes.
Traditional information technology solutions, on the other hand, have the major drawback of being very costly both to build and to maintain, as the day-to-day management of your hardware requires more in-house people when you utilize traditional information technology platforms.
How Do NDR Solutions Work?
Network intrusion detection and prevention systems make use of network traffic analysis, or NTA, to fill up security holes left by other technologies in four crucial areas:
NDR solutions analyze network traffic in order to find malicious behavior inside the perimeter, and through the examination of network traffic, these solutions contribute to intelligent detection, investigation, and response to threats.
Products that focus on the perimeter do a good job of preventing a range of dangers from entering your company’s information technology environment before they can do any damage. Sadly, they are unable to recognize the threats that are capable of getting beyond firewalls and intrusion security systems (IPS).
When internal detection solutions rely only on rules and log data, you leave yourself vulnerable to the chance of being targeted by threats that are still being developed.
NDR systems do traffic analysis in a non-intrusive manner by using either an out-of-band network mirror port, that puts the application in a position where it is not affected by the flow of traffic, and therefore causes less disruption to the traffic on the network than in-band does, or a virtual tap (a software-based solution that can capture a copy of the data that is traveling between virtual computers).
The next step is for them to make use of advanced techniques, such as behavioral analytics and machine learning, in order to identify previously unknown attack patterns alongside those already recognized. This data might also be used to conduct real-time investigations into actions that occurred after a breach and to do a forensic analysis of events that took place. Using these particular facts, one of these two kinds of inquiries may be carried out. Although not all NDR solutions are capable of decoding network data, the most up-to-date systems do feature secure decryption capabilities. These capabilities are designed to aid in finding potential threats that may be hidden inside encrypted network traffic.
On-premises, cloud, and hybrid environments may all benefit from NDR systems’ support for the quick investigation, internal visibility, intelligent response, and increased threat detection. It is quite difficult for threat actors to conceal their behavior while it is being detected at the network layer, which is why network-level attack detection is so effective. Attackers are unable to manipulate network information, and they have no means of knowing whether they are being watched. Attackers can turn off or avoid endpoint or log data, but they are unable to modify network information. Any device that uses the network to communicate may be found almost instantaneously.
Furthermore, attackers may be able to deceive firewalls and conventional IDS by posing as genuine users and services and evading detection based on signatures; nevertheless, they are powerless against NDR since it is not signature-based. This is due to the fact that it is almost hard for them to avoid participating in certain essential activities on the network, which NDR is able to identify. It models the actions of entities on the network and contextually identifies anything that mimics known attack strategies by enhancing rules-based detection with machine learning technology. This indicates that even procedures that seem to be acceptable might raise red flags if they have an odd look.
The network perimeter of your business might be thought of as a malleable notion in the 21st century. It includes a physical component as well as a digital component, and you should not fail to realize the necessity of safeguarding any one of them. Rather, you should defend both of them equally.
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