IBM Security QRadar vs Vectra AI comparison

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Microsoft Logo
31,886 views|17,713 comparisons
92% willing to recommend
IBM Logo
21,075 views|12,899 comparisons
91% willing to recommend
Vectra AI Logo
7,246 views|3,400 comparisons
100% 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: April 2024).
771,170 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
"In Azure Sentinel, we have found, they do have a store in their capability. AI and intelligence features. We found that to be very helpful for us because some other things we do need to integrate again or find another vendor for the store""The Log analytics are useful.""Another area where it is helping us is in creating a single dashboard for our environment. We can collect all the logs into a log analytics workset and run queries on top of it. We get all the results in the dashboard. Even a layman can understand this stuff. The way Microsoft presents it is really incredible.""Azure Application Gateway makes things a lot easier. You can create dashboards, alert rules, hunting and custom queries, and functions with it.""There are some very powerful features to Sentinel, such as the integration of various connectors. We have a lot of departments that use both IaaS and SaaS services, including M365 as well as Azure services. The ability to leverage connectors into these environments allows for large-scale data injection.""The analytics has a lot of advantages because there are 300 default use cases for rules and we can modify them per our environment. We can create other rules as well. Analytics is a useful feature.""Sentinel pricing is good""The machine learning and artificial intelligence on offer are great."

More Microsoft Sentinel Pros →

"The tool is already automated in many ways, but there are some additional functions which should be automated, like sending an email, mobile notification, and integration of XFS.""The most valuable features are log monitoring, easy-to-fix issues, and problem-solving.""The most valuable features are all the implementations, the plug-ins, and the User Behavior Analytics (UBA).""The most valuable features of IBM Security QRadar are flexibility, IBM support, and scalability.""It'll get you from point A to B.""There are a lot of great out-of-the-box features included.""IBM QRadar User Behavior Analytics's most important feature is its ease of use.""The solution is easy to use, manage, and review all incidents."

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"It provides various dashboards that facilitate the identification of connections and can detect data exfiltration, meaning data sent from your environment to another.""The UI is easy to use and when we send detection to everybody, they easily understand what we are asking at the time.""It's important for us that the user interface is easy to understand and that is the biggest benefit we see from Vectra AI.""The most valuable feature for Cognito Detect, the main solution, is that external IDS's create a lot of alerts. When I say a lot of alerts I really mean a lot of alerts. Vectra, on the other hand, contextualizes everything, reducing the number of alerts and pinpointing only the things of interest. This is a key feature for me. Because of this, a non-trained analyst can use it almost right away.""It has helped us to organize our security. We get a better overview on what is happening on the network, which has helped us get quicker responses to users. If we see malicious activity, then we can quickly take action on it. Previously, we weren't getting an overview as fast as we are now, so we can now provide a quicker response.""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...""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.""Vectra AI can bring the ability to detect intrusion on the network more so than legacy IDS tools."

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Cons
"While I appreciate the UI itself and the vast amount of information available on the platform, I'm finding the overall user experience to be frustrating due to frequent disconnections and the requirement to repeatedly re-authenticate.""The playbook is a bit difficult and could be improved.""The reporting could be more structured.""There is some relatively advanced knowledge that you have to have to properly leverage Sentinel's full capabilities. I'm thinking about things like the creation of workbooks, how you do threat-hunting, and the kinds of notifications you're getting... It takes time for people to ramp up on that and develop a familiarity or expertise with it.""I would like to see more AI used in processes.""They could use some kind of workbook. There is some limitation doing the editing and creating the workbook.""I would like Sentinel to have more out-of-the-box analytics rules. There are already more than 400 rules, but they could add more industry-specific ones. For example, you could have sets of out-of-the-box rules for banking, financial sector, insurance, automotive, etc., so it's easier for people to use it out of the box. Structuring the rules according to industry might help us.""We're satisfied with the comprehensiveness of the security protection. That said, we do have issues sometimes where there have been global outages and we need to raise a ticket with Microsoft."

More Microsoft Sentinel Cons →

"They should introduce some automation into the product.""It's resource-intensive.""The usability of interfaces could be improved.""The features that could be improved include the licensing model and the dashboards and all those presentations. Overall, the user experience part can be improved.""There could be better integration with the solution.""Technical support really needs to be improved. Right now, they aren't where they need to be at all.""There are areas in IBM Security QRadar that could benefit from improvement. Its ability to customize knowledge for specific purposes could be enhanced. Also, it lacks clarity in presenting details. It is also difficult to see the reports.""The user interface needs improvement."

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"Other alternatives, like Darktrace, have a fancier UI.""The solution needs to become more proactive. When Vectra AI is the primary solution in an environment - like it is in our case - you must work on response time. We have a small team so response time at endpoint level is vital.""Some of the customization could be improved. Everything is provided for you as an easy solution to use, but working with it and doing specific development could be worked on a bit more in the scope of an incident response team.""The false positives and the tuning side of it is something that could use improvement. But that could be from our side.""One thing which I have found where there could be improvement is with regard to the architecture, a little bit: how the brains and sensors function. It needs more flexibility with regard to the brain. If there were some flexibility in that regard, that would be helpful, because changing the mode of the brain is complex. In some cases, the change is permanent. You cannot revert it.""Vectra is still limited to packet management. It's only monitoring packet exchanges. While it can see a lot of things, it can't see everything, depending on where it's deployed. It has its limits and that's why I still have my SIEM.""What is most important for us is to have one place where we can manage a few brains because we are based on a zero-trust network. As a result, each customer needs to have a separate brain. For the SOC team, we need to have one place where the SOC analyst can go to visit the website and from that site manage all of the customers. Right now, Vectra AI doesn't have this capability, and I would really like to have this feature.""Vectra Recall could be utilized much more, and I'm seeing some indications of that today with the investigative components. I use the Visualize feature to visualize components and dashboards a lot. I'm interested in new ways to build automated searches or having them leveraged already from Vectra."

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Pricing and Cost Advice
  • "It comes with a Microsoft subscription which the customer has, so they don't have to invest somewhere else."
  • "It is a consumption-based license model. bands at 100, 200, 400 GB per day etc. Azure Sentinel Pricing | Microsoft Azure"
  • "Good monthly operational cost model for the detection and response outcomes delivered, M365 logs don't count toward the limits which is a good benefit."
  • "I have had mixed feedback. At one point, I heard a client say that it sometimes seems more expensive. Most of the clients are on Office 365 or M365, and they are forced to take Azure SIEM because of the integration."
  • "It is kind of like a sliding scale. There are different tiers of pricing that go from $100 per day up to $3,500 per day. So, it just kind of depends on how much data is being stored. There can be additional costs to the standard license other than the additional data. It just kind of depends on what other services you're spinning up in Azure, or if you're using something like Azure log analytics."
  • "I am just paying for the log space with Azure Sentinel. It costs us about $2,000 a month. Most of the logs are free. We are only paying money for Azure Firewall logs because email logs or Azure AD logs are free to use for us."
  • "Sentinel is a bit expensive. If you can figure a way of configuring it to meet your needs, then you can find a way around the cost."
  • "Azure Sentinel is very costly, or at least it appears to be very costly. The costs vary based on your ingestion and your retention charges."
  • More Microsoft Sentinel 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:Yes, Azure Sentinel is a SIEM on the Cloud. Multiple data sources can be uploaded and analyzed with Azure Sentinel and… more »
    Top Answer:It would really depend on (1) which logs you need to ingest and (2) what are your use cases Splunk is easy for… more »
    Top Answer:We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is… more »
    Top Answer:It mostly depends on your use-cases and environment. Exabeam and Securonix have a stronger UEBA feature set, friendlier… 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… 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… 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.
    Comparisons
    Also Known As
    Azure Sentinel
    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

    Microsoft Sentinel is a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution that lets you see and stop threats before they cause harm. Microsoft Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response. Eliminate security infrastructure setup and maintenance, and elastically scale to meet your security needs—while reducing IT costs. With Microsoft Sentinel, you can:

    - Collect data at cloud scale—across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds

    - Detect previously uncovered threats and minimize false positives using analytics and unparalleled threat intelligence from Microsoft

    - Investigate threats with AI and hunt suspicious activities at scale, tapping into decades of cybersecurity work at Microsoft

    - Respond to incidents rapidly with built-in orchestration and automation of common tasks

    To learn more about our solution, ask questions, and share feedback, join our Microsoft Security, Compliance and Identity Community.

    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
    Microsoft Sentinel is trusted by companies of all sizes including ABM, ASOS, Uniper, First West Credit Union, Avanade, and more.
    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 Firm22%
    Computer Software Company11%
    Manufacturing Company8%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm10%
    Government9%
    Manufacturing Company7%
    REVIEWERS
    Financial Services Firm23%
    Computer Software Company15%
    Comms Service Provider10%
    Security Firm6%
    VISITORS READING REVIEWS
    Educational Organization18%
    Computer Software Company15%
    Financial Services Firm10%
    Government6%
    REVIEWERS
    Financial Services Firm17%
    Manufacturing Company11%
    University11%
    Computer Software Company8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm12%
    Government8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise21%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise16%
    Large Enterprise59%
    REVIEWERS
    Small Business39%
    Midsize Enterprise15%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise30%
    Large Enterprise50%
    REVIEWERS
    Small Business15%
    Midsize Enterprise22%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    Buyer's Guide
    Security Information and Event Management (SIEM)
    April 2024
    Find out what your peers are saying about Splunk, Microsoft, Wazuh and others in Security Information and Event Management (SIEM). Updated: April 2024.
    771,170 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 40 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, Wazuh, LogRhythm SIEM, Elastic Security and Sentinel, 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.