LogRhythm NetworkXDR [EOL] vs Vectra AI comparison

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Executive Summary

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, Vectra AI, Cisco and others in Network Detection and Response (NDR).
To learn more, read our detailed Network Detection and Response (NDR) Report (Updated: March 2024).
767,847 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

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"The dashboard gives me a scoring system that allows me to prioritize things that I should look at. I may not necessarily care so much about one event, whereas if I have a single botnet detection or a brute force attack, I really want to get on top of those.""We discovered a lot of things in our network and are correcting several misconfigurations. We are learning how some apps work together and how some things shouldn't happen. It's also easier for us to identify the source of a brute force, whereas before, we didn't even know we had a brute force.""Vectra AI is the best. It is a major product in our cybersecurity.""We particularly like the user experience around the dashboard, which we find to be much more straightforward than the dashboard of some of the competitive products... Vectra is a really easy system to understand and use to prioritize where we need to focus our security resources.""The UI is easy to use and when we send detection to everybody, they easily understand what we are asking at the time.""The solution's ability to reduce alerts, by rolling up numerous alerts to create a single incident or campaign, helps in that it collapses all the events to a particular host, or a particular detection to a set of hosts. So it doesn't generate too many alerts. By and large, whatever alerts it generates are actionable, and actionable within the day.""Scalability wise, we have many sensors, and Vectra AI seems to handle them all very well.""The biggest feature for us, because we are heavy Microsoft users, is its integration with Office 365. On top of Vectra AI, we use all of the Microsoft security platforms, such as Defender ATP and Sentinel. Having full integration and a central platform to look at all of the threats that are coming through from the different platforms is a huge benefit for us."

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Cons
"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."

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"The main improvement I can see would be to integrate with more external solutions.""The UI/UX and detection could be improved. More detections of specific security events could be useful. We've had a few incidents that were not detected by Vectra. The teams are working on it right now, but more detection is always better.""ExtraHop has better features that seem more advantageous when compared to Vectra.""I'd like to be able to get granular reports and to be able to output them into formats that are customizable and more useful. The reporting GUI is lacking.""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.""One of the things I am not so happy about when it comes to Vectra is the scoring board.""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 to see a bit more strategic metrics instead of technical data. Information that I could show to my executive management team or board would be valuable."

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Pricing and Cost Advice
Information Not Available
  • "We are running at about 90,000 pounds per year. The solution is a licensed cost. The hardware that they gave us was pretty much next to nothing. It is the license that we're paying for."
  • "The license is based on the concurrent IP addresses that it's investigating. We have 9,800 to 10,000 IP addresses."
  • "There are additional features that can be purchased in addition to the standard licensing fee, such as Cognito Recall and Stream."
  • "We have a desire to increase our use. However, it all comes down to budget. It's a very expensive tool that is very difficult to prove business support for. We would like to have two separate networks. We have our corporate network and PCI network, which is segregated due to payment processing. We don't have it for deployed in the PCI network. It would be good to have it fully deployed there to provide us with additional monitoring and control, but the cost associated with their licensing model makes it prohibitively expensive to deploy."
  • "At the time of purchase, we found the pricing acceptable. We had an urgency to get something in place because we had a minor breach that occurred at the tail end of 2016 to the beginning of 2017. This indicated we had a lack of ability to detect things on the network. Hence, why we moved quickly to get into the tool in place. We found things like Bitcoin mining and botnets which we closed quickly. In that regard, it was worth the money."
  • "The pricing is very good. It's less expensive than many of the tools out there."
  • "The pricing is high."
  • "Their licensing model is antiquated. I'm not a fan of their licensing model. We have to pay for licensing based on four different things. You have to pay based on the number of unique IPs, the number of logs that we send through Recall and Stream, and the size of our environment. They need to simplify their licensing down to just one thing. It should be based on the amount of data, the number of devices, or something else, but there should be just one thing for everything. That's what they need to base their licensing on. Cost-wise, they're not cheap. They were definitely the most expensive option, but you get what you pay for. They're not the cheapest option."
  • More Vectra AI Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:My team has no information on the licensing cost for LogRhythm NetworkXDR because it's the account manager from the sales team who deals with licensing.
    Top Answer: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… more »
    Top Answer:The two platforms take a fundamentally different approach to NDR. Corelight is limited to use cases that require the eventual forwarding of events and parsed data logs to a security team’s SIEM or… more »
    Top Answer:Vectra AI generates relevant information.
    Top Answer:It's relatively on the pricier side, but when compared to other solutions. It's not the most budget-friendly option, but it can be considered somewhat more cost-effective in comparison to other… more »
    Ranking
    Unranked
    In Network Detection and Response (NDR)
    Views
    8,896
    Comparisons
    4,184
    Reviews
    20
    Average Words per Review
    772
    Rating
    8.3
    Comparisons
    Also Known As
    LogRhythm NDR
    Vectra Networks, Vectra AI NDR
    Learn More
    Overview

    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

    • AI-based threat detection and response. 
    • Detects attacks in real time with behavior-based threat detection. 
    • Consolidates and correlates thousands of events, detecting threats. 
    • Enriches threat investigation with a chain of evidence and data science security insights. 
    • Machine learning techniques, including deep learning and neural networks. 
    • Gives visibility into cyberattackers and analyzes all network traffic. 
    • Continuous updates with new threat detection algorithms. 
    • Provides encryption at rest and in transit. For the AWS version, it offers AES-256 encryption via AWS Key Management Service. 
    • Guaranteed availability according to the SLA of the service selected. 
    • Does not connect to public sector networks. 

    Benefits of Vectra AI

    • Behavioral models use AI to find unknown attackers. 
    • Context increases the accuracy of threat hunting. 
    • Allows for proactive action by prioritizing the most relevant information. 
    • Provides a clear picture and extensive context for investigations. 
    • Aids decision-making in the incident response process. 
    • Helps working with large datasets by capturing metadata at scale. 
    • Automates time-consuming analysis. 
    • Reduces the security analysts’ workloads on threat investigations. 

    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

    Sample Customers
    Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association
    Top Industries
    No Data Available
    REVIEWERS
    Financial Services Firm17%
    Manufacturing Company11%
    University11%
    Mining And Metals Company9%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm12%
    Government8%
    Manufacturing Company6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business13%
    Midsize Enterprise23%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise14%
    Large Enterprise65%
    Buyer's Guide
    Network Detection and Response (NDR)
    March 2024
    Find out what your peers are saying about Darktrace, Vectra AI, Cisco and others in Network Detection and Response (NDR). Updated: March 2024.
    767,847 professionals have used our research since 2012.

    LogRhythm NetworkXDR [EOL] doesn't meet the minimum requirements to be ranked in Network Detection and Response (NDR) with 1 review while Vectra AI is ranked 2nd in Network Detection and Response (NDR) with 39 reviews. LogRhythm NetworkXDR [EOL] is rated 10.0, while Vectra AI is rated 8.6. 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 "Integrates well with other security solutions and provides good technical support". LogRhythm NetworkXDR [EOL] is most compared with , whereas Vectra AI is most compared with Darktrace, ExtraHop Reveal(x), Cisco Secure Network Analytics, Arista NDR and Trend Micro Deep Discovery.

    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.