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
"Sentinel is a Microsoft product, so they provide very robust use cases and analytic groups, which are very beneficial for the security team. I also like the ability to integrate data sources into the software for on-premise and cloud-based solutions.""The machine learning and artificial intelligence on offer are great.""The most valuable feature is the performance because unlike legacy SIEMs that were on-premises, it does not require as much maintenance.""There are a lot of things you can explore as a user. You can even go and actively hunt for threats. You can go on the offensive rather than on the defensive.""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.""It is always correlating to IOCs for normal attacks, using Azure-related resources. For example, if any illegitimate IP starts unusual activity on our Azure firewall, then it automatically generates an alarm for us.""If you know how to do KQL (kusto query language) queries, which are how you query the log data inside Sentinel, the information is pretty rich. You can get down to a good level of detail regarding event information or notifications.""Sentinel uses Azure Logic Apps for automation, which is really powerful. This allows us to easily automate responses to incidents."

More Microsoft Sentinel Pros →

"I really like the feature we have with the logs, that if there are any credit card numbers being used, like a PII, you can just use rejects and you can mask it. This is a really good feature in QRadar.""The visibility it gives you into your infrastructure has been great.""It can analyze event logs, event security, and give a good consult.""The flexibility is good in terms of pulling log files.""The product has plenty of features and capabilities.""The most valuable feature is the QRadar Vulnerability Manager which provides vulnerability scans. In addition, I like the way QRadar generates alerts.""We can easily monitor many things using this tool.""It's built around Red Hat Linux, which is highly robust."

More IBM Security QRadar Pros →

"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.""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.""The automatic filtering that they provide is valuable. The logic inside that makes some detections instead of us is very useful. We are confident that if we are just looking into it and there is nothing, nothing could happen.""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...""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.""It provides various dashboards that facilitate the identification of connections and can detect data exfiltration, meaning data sent from your environment to another.""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.""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."

More Vectra AI Pros →

Cons
"The solution could be more user-friendly; some query languages are required to operate it.""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.""Sentinel's reporting is complex and can be more user-friendly.""Some of the data connectors are outdated, at least the ones that utilize Linux machines for log forwarding. I believe that Microsoft is already working on improving this.""The reporting could be more structured.""There is room for improvement in entity behavior and the integration site.""Its documentation is not so simple. It is easy for somebody who is Microsoft certified or more closely attached to Microsoft solutions. It is not easy for those who are working on open-source platforms. There isn't a central point where everything is documented, and there is no specific training or certification."

More Microsoft Sentinel Cons →

"The technical support is poor. Mostly because when I open a PMR for IBM, I am stuck with Level 1 staff. As an engineer, nothing that I am bringing them does not require Level 2 or Level 3 support.""The Indian tech support is not helpful.""The solution could improve by having more out-of-the-box use cases.""There needs to be better integration with other applications.""The technical support can be improved a little bit, and the price could be cheaper.""Its architecture is very complicated.""I have noticed the interface has room for improvement.""In terms of what could be improved, I would say the script which we have to create for custom actions. QRadar needs to improve that feature. Additionally, QRadar has to provide the playbooks designing features."

More IBM Security QRadar Cons →

"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.""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.""It would be commercially beneficial if Vectra AI had something like Darktrace's Antigena Email or something similar to email protection.""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.""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.""There could be an option where Vectra manages the solution remotely, and when there is an attack, there could be a notification center to give us information about the attack.""One of the things I am not so happy about when it comes to Vectra is the scoring board.""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."

More Vectra AI Cons →

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.