Wednesday, September 27, 2023
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Beginner’s Guide to Network Detection and Response

According to the Global Network Detection and Response Market Research report, the network detection and response market size will grow from 2485 million in 2022 to 5370 million in 2028 with a compound annual growth rate of 13.7%. These numbers clearly indicate an exponential rise in the popularity and adoption of network detection and response.

In fact, network detection and response has become an integral part of network security strategy as well as threat detection and response. It not only helps you identify loopholes in your current network architecture but allows you to fix them before they can be exploited by hackers and cybercriminals. 

If you have not heard about network detection and response but are interested in learning more about what it is and how it works then you are at the right place. In this article, Anti Ddos will teach you everything you need to know about network detection and response.

What is Network Detection and Response?

Network detection and response is basically a type of cybersecurity software that constantly monitors your network to detect malicious behavior and cybersecurity threats. Once a suspicious behavior or threat is detected, it responds to it with its built in capabilities or by integrating it with other cybersecurity solutions and tools.

A network detection and response harnesses the power of artificial intelligence, machine learning and data analytics to collect information and analyze information regarding malicious threats and actors. Thanks to the power of machine learning and artificial intelligence, these network detection and response systems can not only continuously learn but can also improve their capabilities when it comes to responding to malicious threats and zero day attacks. 

How Does Network Detection and Response Work?

To better understand how network detection and response actually work, think of it as a CCTV camera which monitors everything round the clock. Your network detection and response system also works the same way. It monitors all the network activity constantly. It looks at everyone who is trying to enter your network or lurking around it. This allows it to detect network issues in real time and respond to it to minimize the damage caused by those attacks. 

What is the Difference between Network Detection and Response and Endpoint Detection and Response?

Network detection and response and endpoint detection and response are commonly used interchangeably which is why most people have started treating them as one. Sadly, that is not true. Even though network detection and response is an offshoot of endpoint detection and response, both work differently.

A network detection and response system analyzes internal communications and provides users with the ability to monitor activities in real time throughout the network meanwhile, endpoint detection and response is concerned about monitoring and blocking endpoint attacks, which usually targets dedicated servers or computers. NDR collects and analyzes network data while EDR solutions collect data from endpoints and analyze it.

Impact of Artificial Intelligence and Machine learning On Network Detection and Response

Artificial intelligence and machine learning is at the heart of network detection and response. It uses these technologies to identify suspicious behavior in your network. Network detection and response systems first establish a baseline regarding what is acceptable behavior and what is not. Next, it constantly monitors your network for such anomalies.

When they detect any action or activity that diverges from the baseline, it considers it as an attack on your network. One of the biggest advantages of these behavior based security systems is that it cannot only detect known attacks but also identify unknown ones. Unfortunately, the same cannot be said for signature based security solutions. 

Signature based security solutions can only detect known threats such as viruses and malware but when a zero day threat comes their way, these security systems fail and start to show their weaknesses. Another edge behavior based systems have over signature based security systems is that it can also detect stealth malware that usually escapes detection. This makes them much more secure.

That is why most security experts suggest that signature based security systems are no longer as secure as they used to in the past. As cybercrimminals continues to use new techniques to disguise their attacks, they are becoming more sophisticated and complex as well as harder to detect for businesses. If you still have a signature based security solution, you will struggle to cope with the emerging and latest security threats. 

Why It is Important For Your Business?

Network detection and response offer tons of benefits for businesses. Some of them are as follows:

Better Network Visibility

Gone are the days when firewalls used to be enough to protect your business from sophisticated threats. Today, cybercriminals can easily bypass the firewall and get their hands on your sensitive business data. You need a network detection and response solution that works in conjunction with a firewall and other cybersecurity tools to deliver foolproof security.

A network detection and response system can not only give you better visibility into your network but also enables you to respond quickly to threats that are targeting your network. This not only gives you better control over your network but also beef up your network security just like DDoS protected DNS.

Fewer Distractions

Most cybersecurity teams that use traditional security solutions complain that they receive tons of false positives. This not only wastes time but also the energy of your security team on threats that don’t really exist in the first place. With already under pressure and understaffed security teams, you can not afford to waste time and energy on false positives.

Thanks to artificial intelligence, network detection and response systems can differentiate between false positive and real threats. With no false positives, your security team can spend their energy on addressing threats and threat actors directly targeting your network. It even allows you to launch a network response to nullify the impact of the cybersecurity threat.

How do you improve your network detection and response capabilities? Let us know in the comments section below.


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