We performed a comparison between LogRhythm NetworkXDR [EOL] and Vectra AI based on real PeerSpot user reviews.Find out what your peers are saying about Darktrace, Cynet, Vectra AI and others in Network Detection and Response (NDR).
"What we like most in LogRhythm NetworkXDR is its GUI. The GUI is the best when compared to competitors. For example, there is another SIEM in QRadar and Splunk, and for open source SIEM there is Wazuh and there are other SIEM solutions, but LogRhythm NetworkXDR is more reliable and easier to access. It's easy to use and its display is easy to understand. Learning LogRhythm NetworkXDR is smooth sailing compared to other SIEM solutions."
"Cognito Streams gives you a detailed view of what happens in the network in the form of rich metadata. It is just a super easy way to capture network traffic for important protocols, giving us an advantage. This is very helpful on a day-to-day basis."
"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."
"It does a reliable job of parsing out the logs of all the network traffic so that we can ingest them into our SIEM and utilize them for threat hunting and case investigations. It is pretty robust and reliable. The administration time that we spend maintaining it or troubleshooting it is very low. So, the labor hour overhead is probably our largest benefit from it. We spend 99% of our time in Vectra investigating cases, responding to incidents, or hunting, and only around 1% of our time is spent patching, troubleshooting, or doing anything else. That's our largest benefit from Vectra."
"What I like best about Vectra AI is that it alerts you about suspicious activities."
"The administrative privilege detection feature is the most valuable feature. The admin accounts are often highly accessible to the high-risk component of the environment. If those accounts are compromised or are being used in a suspicious manner, that's high-fidelity events for us to look into."
"The most useful feature is the anomaly detection because it's not signature-based. It picks up the initial part of any attack, like the recon and those aspects of the kill chain, very well."
"One of the core features is that Vectra AI triages threats and correlates them with compromised host devices. From a visibility perspective, we can better track the threat across the network. Instead of us potentially finding one device that has been impacted without Vectra AI, it will give us the visibility of everywhere that threat went. Therefore, visibility has increased for us."
"What would make LogRhythm NetworkXDR better is if they could run it open source, similar to what is being done in Wazuh, and Wazuh is also a good tool to compare against. More integration could also make LogRhythm NetworkXDR better."
"Integration with other security components needs improvement. It should have true integration as opposed to just being a separate pane of glass."
"The reporting from Cognito Detect is very limited and doesn't give you too many options. If I want to prepare a customized report on a particular host, even though I see the data, I have to manually prepare the report. The reporting features that are built into the tool are not very helpful."
"An area for improvement in Vectra AI is reporting because it currently needs some details. For example, when you download a report from Vectra AI, you won't see complete information about the alerts or triggers. Another area for improvement in the tool is that sometimes, an alert has high severity, yet it's marked as low severity. Vectra AI should have a mechanism to change the severity level from low to high or critical."
"I would like to see data processed onshore. Right now, the cloud components, like Office 365, must be processed on servers outside of Australia. I would like to see a future adoption of onshore processing."
"They use a proprietary logging format that is probably 90% similar to Bro Logs. Their biggest area of improvement is finishing out the remaining 10%. That 10% might not be beneficial to their ML engine, but that's fine. The industry standard is Zeek Logs or Bro Logs, or Bro or Zeek, depending on how old you are. While they have 90% of those fields, they're still missing some fields. In very rare instances, some community rules do not have the fields that they need, and we had to modify community rules for our logs. So, their biggest area of improvement would be to just finish their matching of the Zeek standard."
"I would like more integrations with IOCs and threats currently on the Internet. I would also like to know which threats are based on zero-day attacks, current botnets, etc. Therefore, I would like more information on external threats."
"If you hit a certain number of rules, triage filters, or groups, the UX responds more slowly. However, we have a complex network and a lot of rules. So, our setup might not be a typical implementation example. We even had UX engineers onsite, and they looked at issues, improvements, and user feedback. Since then, it has gotten a lot better, they even built in features that we specifically requested for our company."
LogRhythm NDR is a network security solution for detecting, qualifying, investigating, and responding to advanced network-borne threats. It provides the speed and full network visibility needed to combat attacks across your on-premise, remote, and cloud environments.
The solution surfaces these threats through centralized, machine-based analysis of network traffic, including TTP scenario-based modeling, IOC signature-based inspection, and behavioral analysis.
LogRhythm NDR leverages the power and capabilities of the LogRhythm NextGen SIEM platform, including patented and award-winning security analytics and embedded SOAR functionality.
LogRhythm NDR has enabled customers to successfully catch, investigate, and respond to an array of threats such as low and slow data leaks, compromised servers used in lateral attacks, privileged user reconnaissance within internal networks, and SCADA attacks.
Vectra threat detection and response is a complete cybersecurity platform that collects, detects, and prioritizes security alerts. The Cognito platform for Network Detection and Response (NDR) detects and responds to attacks inside cloud, data center, Internet of Things, and enterprise networks. The platform also provides automated response capabilities for low-level threats and escalates more severe anomalies to security personnel.
Cognito captures data for multiple relevant sources and enriches it with context and security insights. It starts by deploying sensors across different networks in datacenters, IoT, or enterprise networks. The algorithm extracts relevant metadata from network and cloud traffic. The information can also be non-security information that can help investigation.
The data is enriched with security context to support critical use cases, such as threat detection, investigation, hunting and compliance. The platform is machine learning-based, which enables it to adapt to any new and current threat scenario. It detects, clusters, prioritizes, and anticipates attacks by using identity and host-level enforcement.
With the Vectra platform, a person can investigate 50 threats in just two hours. By prioritizing alerts and leveraging threat intelligence, it provides faster results.Vectra solves today’s security challenges for network detection and response.
One of Vectra’s best features is the emphasis they put in pairing research and data science for security insights. It offers behavior codification with unsupervised, supervised, and deep learning models.
The pricing is according to a subscription model with a free trial available.Vectra is available for Office 365, Azure AD and AWS Brain.
Features of Vectra AI
Benefits of Vectra AI
Other advantages of Vectra services include that they can be deployed in the public, private, or hybrid cloud. Support is available via email or online ticketing with an average of 4 hours of response. Phone support is available 24/7.
Vectra provides full on-site and online training and documentation. Regarding the user interface, it supports several types of web browsers, such as Internet Explorer, Microsoft Edge, Firefox, Chrome, Safari and Opera. However, it is not available for mobile devices.
Reviews from Real Users
Here’s what PeerSpot users of Vectra AI have to say about it:
"One of the core features is that Vectra AI triages threats and correlates them with compromised host devices. From a visibility perspective, we can better track the threat across the network. Instead of us potentially finding one device that has been impacted without Vectra AI, it will give us the visibility of everywhere that threat went. Therefore, visibility has increased for us." - Dave W., Operations Manager at a healthcare company
"It does a reliable job of parsing out the logs of all the network traffic so that we can ingest them into our SIEM and utilize them for threat hunting and case investigations. It is pretty robust and reliable. The administration time that we spend maintaining it or troubleshooting it is very low.” - T.S., Senior Security Engineer at a manufacturing company
LogRhythm NetworkXDR [EOL] is ranked unranked in Network Detection and Response (NDR) with 1 review while Vectra AI is ranked 3rd in Network Detection and Response (NDR) with 7 reviews. LogRhythm NetworkXDR [EOL] is rated 10.0, while Vectra AI is rated 9.2. The top reviewer of LogRhythm NetworkXDR [EOL] writes "Easier to learn, access, and use, and comes with an easy to understand GUI". On the other hand, the top reviewer of Vectra AI writes "Gives us a greater level of confidence that we will be able to detect threats more quickly". LogRhythm NetworkXDR [EOL] is most compared with Darktrace and Trend Micro Deep Discovery, whereas Vectra AI is most compared with Darktrace, Cisco Secure Network Analytics, ExtraHop Reveal(x), Corelight and Arista NDR.
See our list of best Network Detection and Response (NDR) vendors.
We monitor all Network Detection and Response (NDR) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.