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).
"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 able to connect to an ever-growing number of platforms and systems within the Microsoft ecosystem, such as Azure Active Directory and Microsoft 365 or Office 365, as well as to external services and systems that can be brought in and managed. We can manage on-premises infrastructure. We can manage not just the things that are running in Azure in the public cloud, but through Azure Arc and the hybrid capabilities, we can monitor on-premises servers and endpoints. We can monitor VMware infrastructure, for instance, running as part of a hybrid environment."
"Mainly, this is a cloud-native product. So, there are zero concerns about managing the whole infrastructure on-premises."
"We can use Sentinel's playbook to block threats. It covers all of the environment, giving us great visibility."
"The main benefit is the ease of integration."
"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."
"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."
"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."
"I like the graphical interface. It's so good and easy."
"It is a bit easier to use than other products, such as Splunk or ELK Elasticsearch."
"There are a lot of great out-of-the-box features included."
"I like that it's easy to use and the performance is good."
"It's quite scalable. We have upgraded some solutions from 1000 APS up to 3500 APS to 5000 APS. It's a good solution, they have no scalability issues."
"Most of our clients are interested in automation. The automation part is good because they are able to detect threats and vulnerabilities in real time. It's very fast."
"The rule engine is very easy to use — very flexible."
"The initial setup of QRadar is not complex because we have done it before and we are used to the development. It is getting easier all 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."
"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 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."
"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."
"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 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."
"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."
"Vectra AI helped our team be more productive and save time. We have less work thanks to it."
"Given that I am in the small business space, I wish they would make it easier to operate Sentinel without being a Sentinel expert. Examples of things that could be easier are creating alerts and automations from scratch and designing workbooks."
"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 can be used in two ways. With other tools like QRadar, I don't need to run queries. Using Sentinel requires users to learn KQL to run technical queries and check things. If they don't know KQL, they can't fully utilize the solution."
"Currently, the watchlist feature is being utilized, and although there have been improvements, it is still not fully optimized."
"We've seen delays in getting the logs from third-party solutions and sometimes Microsoft products as well. It would be helpful if Microsoft created a list of the delays. That would make things more transparent for customers."
"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."
"Azure Sentinel will be directly competing with tools such as Splunk or Qradar. These are very established kinds of a product that have been around for the last seven, eight years or more."
"If I see an alert and I want to drill down and get more details about the alert, it's not just one click. In other SIEM tools, you just have to click the IP address of the entity and they give you the complete picture. In Sentinel, you have to write queries or use saved queries to get details."
"IMB should reduce the pricing, or reduce some of the features for a more economical solution for the customer."
"IBM needs to invest more into the collaboration with other vendors."
"What needs to be improved in IBM QRadar User Behavior Analytics is the user experience. It's not optimal. Some screens are a bit clunky. The solution needs to be more user-friendly."
"While the interface is easy to use, it could be a little more responsive."
"The solution lacks vendor support."
"There could be better integration with the solution."
"IBM is going through some problems with its resources currently making its support response time slow."
"QRadar log integration of various applications can be a tough job at times. There may be occasions when you will not find any QRadar guide on adding logs of a particular application. Even if you come across one, adding a log process is not an easy one."
"ExtraHop has better features that seem more advantageous when compared to Vectra."
"In education as a sector, we are looking at AI a lot in terms of how it can be used as part of the teaching and learning side of things. It would be great to have Vectra AI look at a better way to enhance the security posture related to the AI tools in our portfolio."
"The solution's marketing is not good."
"Other alternatives, like Darktrace, have a fancier UI."
"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."
"I think Vectra AI's automation, reporting, and integration could be improved."
"One of the things that we are missing a bit is the capability to add our own rules to it. At the moment, the tech engine does its thing, but we have some cool ideas to make additional rules. There should be an option in the platform to add custom rules, or there should be some kind of user group where we can suggest them for the roadmap and see if they get evaluated and get transparent communication on whether they will be implemented in the product or not."
"The solution has not reduced the security analyst workload in our organization because we still need to SIEM. Unfortunately, while Vectra, for us, is a brilliant tool for network investigations, giving wonderful visibility, it doesn't go the whole way to replace our SIEM that is needed for compliance. So, I still have the same amount of alerting and logging that I did before. It gives us more defined ability to see incidents, but it doesn't give us enough information to satisfy a PCI or 27001 audit."
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.
