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Top 8 Network Detection and Response (NDR) Tools

DarktraceVectra AICisco StealthwatchAwake Security PlatformExtraHop Reveal(x)Blue HexagonRSA NetWitness NetworkIronNet IronDefense
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    The most valuable feature is that it gives us visibility of rogue traffic that is on the network.The platform has many modules, and each module examines a different situation in the behavior.
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    It keeps up with the network traffic, which is a good thing. It provides more context to plain alerts compared to using an older system. So, it helps an analyst reduce the information overload.
  3. Find out what your peers are saying about Darktrace, Vectra AI, Cisco and others in Network Detection and Response (NDR). Updated: January 2022.
    564,643 professionals have used our research since 2012.
  4. From what I understand, you can encrypt and unencrypt traffic moving in transit. This is one of the features that we liked about it. Great network monitoring, looking at anomaly detection and evaluation.
  5. When I create a workbench query in Awake to do threat hunting, it's much easier to query. You get a dictionary popup immediately when you try to type a new query. It says, "You want to search for a device?" Then you type in "D-E," and it gives you a list of commands, like device, data set behavior, etc. That gives you the ability to build your own query.
  6. We had useful information within the hour of deployment. The ability to trace back for historical analysis, as well as the behavioral analysis done with the security information, puts the user in a position to make an informed decision to mitigate the performance or security incidents. Regarding the security incidents, Reveal (x) is able to create incident cards that guide your teams through the incidents and gives you the option to delve into the transaction detail to potentially view payloads as well.
  7. They can provide you very contextual alerts on if something bad is happening—coming into your network or going out of your network. As part of that, they gather a lot of threat intelligence and map your connections against that. The larger benefit is that they give you a risk rating on their findings.
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  9. The log correlation is good.It is very easy to use, and its usability is great. The use cases are also very easy. The visualizations of the use cases are magnificent. You cannot find this in any other solution. From my point of view, it is great.
  10. The most valuable feature is the ease of use and the full reach of services.
Why is Network Detection and Response important?

The constant increase in volume and complexity of attacks makes it difficult for legacy security tools to keep pace. Detecting known indicators of compromise (IoC) or attack patterns is not enough when cyber criminals seem to always be a step ahead. Organizations need to detect an advanced attack before it becomes a breach.

The enormous volume of data created and traveling across networks provides an ideal hideaway for attackers, whose activities are able to blend in with normal traffic patterns. Thus, attackers can dwell in the network for weeks or months, stealing data in small batches so they aren’t noticed.

Current attack tactics require a solution that can constantly monitor the network to detect abnormal behavior and stop intruders quickly. That’s where network detection and response (NDR) comes in.

Network security typically uses an array of tools for monitoring and intercepting malicious traffic. However, effective network security needs in-depth visibility into the network so they can respond quickly. Network detection and response tools give security teams real-time awareness of network data for quick and meaningful analysis.

NDRs are often integrated as part of broader security solutions, like security information and event management (SIEM) and endpoint detection and response (EDR). Both SIEM and NDR solutions use log analysis to produce high-relevance contextual alerts as part of a whole security solution. This integration gives a comprehensive approach to the attack surface.

What are the key aspects of an NDR solution?

There are several types of Network Detection and Response solutions, and each one is unique. Still, there are key aspects common to all of them. Here is a short list:

  • Machine learning technology analyzes large sets of data to detect threats and make accurate predictions. NDR solutions use machine learning models to detect uncommon patterns; for instance, an unused port suddenly in use, or suspicious activity. By using behavioral analytics, machine learning algorithms can detect a potential threat and prioritize it before sending an alert.
  • Heuristics analyzes the data, looking for suspicious properties. Using heuristics in NDR solutions helps detect unknown threats by identifying abnormal characteristics.
  • Threat intelligence feeds are data streams that provide information on known cyber threats. This information can come from public security repositories or threat lists, or may have been previously identified by the security team. Threat intelligence provides context to NDR solutions so the system can prioritize the alerts by level of risk.
  • Statistical analysis can range from simple URL analysis to analysis of network traffic patterns. Statistical analysis helps determine a baseline of normal behavior the system can use to detect anomalies.
How does NDR enhance your security?

Network detection and response (NDR) solutions enable users to quickly receive threat visibility across an environment. NDR solutions complement other security tools like SIEM (security information and event management) and endpoint detection and response (EDR). Using these technologies together enables the creation of an entire span of visibility.

Network detection and response solutions improve every stage of the threat detection and response process:

  • Detection - NDR solutions collect data across the network and environments, using machine learning analytics to detect threats. Effective NDR solutions incorporate different modeling and deep inspection techniques against both known indicators of compromise (IoC) and unusual behavior.
  • Investigation - NDR gives real-time analytics, which help allow for quick response to threats. It provides contextual intelligence for threat analysis, including supporting legal action by producing information for audits and compliance reports.
  • Response - Since NDR gives information in real-time, security teams can respond more quickly to potential threats. Additionally, effective NDR solutions automate security workflows, improving the security team response. The system prioritizes alerts and automates responses to some threats. Therefore, security teams can focus on the highest-level alerts.
What to Look for in an NDR Solution

Network detection and response (NDR) solutions can be managed, operated or automated.

  • Managed: Managed NDR solutions (or NDR-as-a-Service) combine threat detection techniques with analyses that investigate and respond according to predefined playbooks.
  • Operated: This model offers the technology solution as a package while the company keeps activity logs and provides a security team to respond and recover when necessary.
  • Automated: In this option, the solution is fully automated, without human intervention.

How can you choose the right NDR solution for your company? There are three key parameters you should look when browsing for an NDR solution:

  1. False positives: look at the rate of false positives and false negatives of the system. A high rate of false positives can disrupt network operation. On the other hand, if the system has false negatives, this can lead to attacks passing through.
  2. Machine learning and AI: Check that the system is not entirely dependent on rules. This will give your company more flexibility to adapt to new network conditions.
  3. Does the system enable action? Solutions must enable quick and automated responses. In addition, the system must enable historical recording of network activity, by doing snapshots or logging and log analysis.

Find out what your peers are saying about Darktrace, Vectra AI, Cisco and others in Network Detection and Response (NDR). Updated: January 2022.
564,643 professionals have used our research since 2012.