IBM Security QRadar vs Vectra AI comparison

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20,804 views|12,643 comparisons
91% willing to recommend
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7,149 views|3,331 comparisons
97% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Security QRadar and Vectra AI based on real PeerSpot user reviews.

Find out what your peers are saying about Splunk, Microsoft, Wazuh and others in Security Information and Event Management (SIEM).
To learn more, read our detailed Security Information and Event Management (SIEM) Report (Updated: June 2024).
772,649 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
"It saves a lot of time. We integrate the customer's firewall with all their networking devices.""It has a lot of good correlation rules. From a customer's point of view, it is one of the best solutions because you don't need to create correlation rules from scratch. You just review them and customize them as you want.""Integrations are quite a useful and key feature of this solution. It has integration with the CVSS score, which is a central point for all the data and scores about the threats. There is an IBM Bluemix dashboard that is integrated with the CVSS score.""It comes with many rules disabled. You can tune them and modify them according to your enterprise needs and avoid false positives.""What I like about IBM QRadar User Behavior Analytics is that it uses machine learning algorithms to generate risk scoring for the user activity. I also like that it syncs with our Active Directory users, so it really has full coverage for all users in our environment.""QRadar, Splunk, and ArcSight are SIEM solutions with built-in AI/ML features. They can do the complete investigation and alert the admin about what is happening. They can also do the root cause analysis. There are many other features that come with QRadar. It has a more granular log, so you can integrate with various non-IT as well as IT-based components. You can get unstructured data to the SIEM data, and you can identify more what is happening in the network or what is happening in the central head office. You can also identify what is happening between your remote offices. You can also use it to identify what the users in the field are doing on their devices and how things are moving. From the integration point of view, it is very centric. It gives complete control centrally. If a user is not connected to the system, whenever he comes online, we can see the policy updates over the Internet, and we can ensure that the data that is supposed to be protected is protected.""It'll get you from point A to B.""The solution is quite flexible."

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"The key feature for me for Detect for Office 365 is that it can also concentrate all the information and detection at one point, the same as the network solution does. This is the key feature for me because, while accessing data from Office 365 is possible using Microsoft interfaces, they are not really user-friendly and are quite confusing to use. But Detect for Office 365 is aggregating all the info, and it's only the interesting stuff.""I like the way that Vectra AI focuses on the internal network. Nowadays, most of the attackers are already inside, and they can be inside for many years before they start attacking. With normal monitoring, it's quite difficult to find them.""It provides various dashboards that facilitate the identification of connections and can detect data exfiltration, meaning data sent from your environment to another.""Vectra produces actionable data using automation. That has helped us. It's less manpower now to look at incidents, which has definitely increased efficiency. Right now, in a lot of cases, our mean time to detection is within zero days. This tells me by the time something happened, and we were able to detect it, it was within the same day.""It gives you access, with Recall, to instant visibility into your network through something like a SIEM solution. For us, being able to correlate all of this network data without having to manage it, has provided immediate value. It gives us the ability to really work on the stuff where I and my team have expertise, instead of having to manage a SIEM solution...""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.""The fact that we get the visualization of what's happening on our network, which is a way of improving our security in-depth is most valuable.""One of the most valuable features of the platform is its ability to provide you with aggregated risk scores based on impact and certainty of threats being detected. This is both applied to individual and host detections. This is important because it enables us to use this platform to prioritize the most likely imminent threats. So, it reduces alert fatigue follow ups for security operation center analysts. It also provides us with an ability to prioritize limited resources."

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Cons
"I would also like to see more integration with other vendors. IBM doesn't integrate well with products from China, like Huawei. Many Middle Eastern customers are switching to Huawei from American vendors like Cisco because of the price. In most RFPs, Huawei wins because it costs less.""The solution is difficult to understand in the beginning and has complex management configurations that can be improved.""I would like to see the update process simplified.""I would like to see a better GUI.""IBM Security QRadar lacks automated response. With this feature, there's no need to visit VirusTotal or other sites for IP reputation. There should be a small plug-in where users can click to retrieve details about the reputation and organization of public IP.""QRadar needs to be improved on the storage side, particularly when the disc exceeded the maximum threshold.""There should be more opportunity for community kind of distribution where, for example, if there was a zero-day threat targeting companies.""The price of IBM Security QRadar is an area of concern where improvements are required."

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"We are using SMB 3.0, which is an encrypted protocol. When we get some alerts or something, we cannot go deep into the protocol to see what's wrong because it's encrypted. We need to decrypt the protocol in another way, which is quite difficult. We might go back to SMB 2.0 just for this reason, but that's not a good solution.""We had another product with Vectra AI and used the MDR solution as an add-on. Initially, it wasn't fully appropriately configured, so we didn't get the expected results. Even once configured correctly, we weren't fully satisfied with its response. The issue was both with their service response and the product's capabilities.""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.""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.""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.""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.""We have had a few issues with the integration of Vectra AI with EDR. Some filters have not been working. We've also had issues with the brain not being powerful enough.""The rules for threats are not always precise and Vectra AI should improve this."

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Pricing and Cost Advice
  • "found other solutions, with more features at the same cost or less. You don’t have to leave the Gartner Magic Quadrant to beat their price."
  • "Most of the time, it is easier and cheaper to buy a new product or the QRadar box."
  • "IBM's Qradar is not for small companie. Unfortunately, it would be 'overkill' to place it plainly. The pricing would be too much."
  • "IBM's Qradar is not for small companie. Unfortunately, it would be 'overkill' to place it plainly. The pricing would be too much."
  • "Go through a vulnerability assessment review for price breaks. A virtualized solution will also cut down on cost."
  • "It is expensive. It is not a product that I can provide for SMBs. It is a program that I can only provide for really large enterprises."
  • "The maintenance costs are high."
  • "Pricing (based on EPS) will be more accurate."
  • More IBM Security QRadar Pricing and Cost Advice →

  • "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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    Comparison Review
    Vinod Shankar
    Questions from the Community
    Top Answer:It mostly depends on your use-cases and environment. Exabeam and Securonix have a stronger UEBA feature set, friendlier GUI and are not licensed based on capacity (amount of logs and information… more »
    Top Answer:For tools I’d recommend:  -SIEM- LogRhythm -SOAR- Palo Alto XSOAR Doing commercial w/o both (or at least an XDR) is asking to miss details that are critical, and ending up a statistic. Also,… more »
    Top Answer:The event collector, flow collector, PCAP and SOAR are valuable.
    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:The solution is currently used as a central threat detection and response system.
    Top Answer:Vectra AI has an annual subscription license. You could choose the components you need for your environment.
    Ranking
    Views
    20,804
    Comparisons
    12,643
    Reviews
    25
    Average Words per Review
    461
    Rating
    7.7
    Views
    7,149
    Comparisons
    3,331
    Reviews
    23
    Average Words per Review
    756
    Rating
    8.3
    Comparisons
    Also Known As
    IBM QRadar, QRadar SIEM, QRadar UBA, QRadar on Cloud, QRadar, IBM QRadar User Behavior Analytics, IBM QRadar Advisor with Watson
    Vectra Networks, Vectra AI NDR
    Learn More
    Overview

    IBM Security QRadar is a security and analytics platform designed to defend against threats and scale security operations. This is done through integrated visibility, investigation, detection, and response. QRadar empowers security groups with actionable insights into high-priority threats by providing visibility into enterprise security data. Through centralized visibility, security teams and analysts can determine their security stance, which areas pose a potential threat, and which areas are critical. This will help streamline workflows by eliminating the need to pivot between tools.

    IBM Security QRadar is built to address a wide range of security issues and can be easily scaled with minimal customization effort required. As data is ingested, QRadar administers automated, real-time security intelligence to swiftly and precisely discover and prioritize threats. The platform will issue alerts with actionable, rich context into developing threats. Security teams and analysts can then rapidly respond to minimize the attackers' strike. The solution will provide a complete view of activity in both cloud-based and on-premise environments as a large amount of data is ingested throughout the enterprise. Additionally, QRadar’s anomaly detection intelligence enables security teams to identify any user behavior changes that could be indicators of potential threats. 

    IBM QRadar Log Manager

    To better help organizations protect themselves against potential security threats, attacks, and breaches, IBM QRadar Log Manager gathers, analyzes, preserves, and reports on security log events using QRadar Sense Analytics. All operating systems and applications, servers, devices, and applications are converted into searchable and actionable intelligent data. QRadar Log Manager then helps organizations meet compliance reporting and monitoring requirements, which can be further upgraded to QRadar SIEM for a more superior level of threat protection.

    Some of QRadar Log Manager’s key features include:

    • Data processing and capture on any security event
    • Disaster recovery options and high availability 
    • Scalability for large enterprises
    • SoftLayer cloud installation capability
    • Advanced threat protection

    Reviews from Real Users

    IBM Security QRadar is a solution of choice among users because it provides a complete solution for security teams by integrating network analysis, log management, user behavior analytics, threat intelligence, and AI-powered investigations into a single solution. Users particularly like having a single window into their network and its ability to be used for larger enterprises.

    Simon T., a cyber security services operations manager at an aerospace/defense firm, notes, "The most valuable thing about QRadar is that you have a single window into your network, SIEM, network flows, and risk management of your assets. If you use Splunk, for instance, then you still need a full packet capture solution, whereas the full packet capture solution is integrated within QRadar. Its application ecosystem makes it very powerful in terms of doing analysis."

    A management executive at a security firm says, "What we like about QRadar and the models that IBM has, is it can go from a small-to-medium enterprise to a larger organization, and it gives you the same value."

    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
    Clients across multiple industries, such as energy, financial, retail, healthcare, government, communications, and education use QRadar.
    Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association
    Top Industries
    REVIEWERS
    Financial Services Firm23%
    Computer Software Company15%
    Comms Service Provider10%
    Security Firm6%
    VISITORS READING REVIEWS
    Educational Organization19%
    Computer Software Company15%
    Financial Services Firm10%
    Government6%
    REVIEWERS
    Financial Services Firm16%
    Manufacturing Company11%
    University11%
    Retailer8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm12%
    Government8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business39%
    Midsize Enterprise15%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise30%
    Large Enterprise49%
    REVIEWERS
    Small Business17%
    Midsize Enterprise21%
    Large Enterprise62%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    Buyer's Guide
    Security Information and Event Management (SIEM)
    June 2024
    Find out what your peers are saying about Splunk, Microsoft, Wazuh and others in Security Information and Event Management (SIEM). Updated: June 2024.
    772,649 professionals have used our research since 2012.

    IBM Security QRadar is ranked 4th in Security Information and Event Management (SIEM) with 198 reviews while Vectra AI is ranked 2nd in Intrusion Detection and Prevention Software (IDPS) with 42 reviews. IBM Security QRadar is rated 8.0, while Vectra AI is rated 8.6. The top reviewer of IBM Security QRadar writes "A highly stable and scalable solution that provides good technical support". On the other hand, the top reviewer of Vectra AI writes "Integrates well with other security solutions and provides good technical support". IBM Security QRadar is most compared with Splunk Enterprise Security, Microsoft Sentinel, Wazuh, LogRhythm SIEM and Elastic Security, whereas Vectra AI is most compared with Darktrace, ExtraHop Reveal(x), Cisco Secure Network Analytics, Arista NDR and Corelight.

    We monitor all Security Information and Event Management (SIEM) 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.