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).
"The SOAR playbooks are Sentinel's most valuable feature. It gives you a unified toolset for detecting, investigating, and responding to incidents. That's what clearly differentiates Sentinels from its competitors. It's cloud-native, offering end-to-end coverage with more than 120 connectors. All types of data logs can be poured into the system so analysis can happen. That end-to-end visibility gives it the advantage."
"The solution offers a lot of data on events. It helps us create specific detection strategies."
"One of the most valuable features of Microsoft Sentinel is that it's cloud-based."
"The dashboard that allows me to view all the incidents is the most valuable feature."
"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"
"I like the KQL query. It simplifies getting data from the table and seeing the logs. All you need to know are the table names. It's quite easy to build use cases by using KQL."
"Sentinel is a SIEM and SOAR tool, so its automation is the best feature; we can reduce human interaction, freeing up our human resources."
"The solution has features that helped improve the security posture of our clients. It provides the ability to correlate a large variety of log sources very cost-effectively, especially for Microsoft sources."
"I like that it's easy to use and the performance is good."
"Vulnerability data, network data and the like, are part of correlation and detection."
"The rule engine is very easy to use — very flexible."
"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 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 timeline and machine learning features are great."
"It saves a lot of time. We integrate the customer's firewall with all their networking devices."
"The most valuable feature is the DSM Editor. The custom parsing tool is very nice, outstanding."
"What I like best about Vectra AI is that it alerts you about suspicious activities."
"The solution provide visibility into behaviors across the full lifecycle of an attack in our network, beyond just the Internet gateway. It makes our security operations much more effective because we are now looking not just at traffic on the border, but we're looking at east-west internal traffic. Now, not only will we see if an exploit kit is being downloaded, but we would be able to see then if that exploit kit was then laterally distributed into our environment."
"Vectra is very compatible with various cloud providers, such as Amazon and Azure AD. This is helpful as customers often migrate their network infrastructure to the cloud."
"It is doing some artificial intelligence. If it sees a server doing a lot of things, then it will assume that is normal. So, it is looking for anomalous behavior, things that are out of context which helps us reduce time. Therefore, we don't have to look in all the logs. We just wait for Vectra to say, "This one is behaving strange," then we can investigate that part."
"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's important for us that the user interface is easy to understand and that is the biggest benefit we see from Vectra AI."
"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 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."
"Sentinel's alerts and notifications are not fully optimized for mobile devices. The overall reporting and the analytics processes for the end user should also be improved. Also, the compatibility and availability of data sources and reports are not always perfect."
"Add more out-of-the-box connectors with other SaaS platforms/applications."
"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."
"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."
"Not all information shows up in Sentinel. Sometimes there are items provided in 365 and if you looked in Sentinel you would not see them and therefore think they do not exist. There can be discrepancies between Microsoft tools."
"We have been working with multiple customers, and every time we onboard a customer, we are missing an essential feature that surprisingly doesn't exist in Sentinel. We searched the forums and knowledge bases but couldn't find a solution. When you onboard new customers, you need to enable the data connectors. That part is easy, but you must create rules from scratch for every associated connector. You click "next," "next," "next," and it requires five clicks for each analytical rule. Imagine we have a customer with 150 rules."
"The learning curve could be improved. I am still learning it. We were able to implement the basic features to get them up and running, but there are still so many things that I don't know about all its features. They have a lot of features that we have not been able to use or apply. If they could work on reducing the solution's learning curve, that would be good. While there is a training course held by Microsoft to learn more about this solution, there is a cost associated with it."
"The dashboards can be improved. Creating dashboards is very easy, but the visualizations are not as good as Microsoft Power BI. People who are using Microsoft Power BI do not like Sentinel's dashboards."
"I think QRadar is very complex. It's a distributed system and IBM QRadar has an all-in-one solution which is not like that distributed solution but it's a good product. IBM needs to consider the user interface because if we compare it with AlienVault, the AlienVault user interface is fantastic but the IBM QRadar user interface is very complex. They should focus on how to make it easier for the client."
"The threat detection needs improvement, they have many false positives."
"There was some complexity in the initial setup due to bandwidth issues."
"IBM technical support is always terrible."
"Maybe there should be more custom rules in the exchange. Basically, we are using a lot of threat rules, so maybe they'll develop something like that."
"The solution lacks vendor support."
"There should be an extension where we can get the reports. This could be an extension to the dashboard with the Guardian or another product with limited technology, for example IPS. Now, we only have IBM. Basically, it needs more and more integration models."
"The user interface and configurability of IBM QRadar User Behavior Analytics can be improved. It has a lot of pre-configured settings and not many things can be changed. It also needs more integrations. Currently, User Behavior Analytics is integrated only with IBM QRadar. It could have deeper integrations. It can also have more complicated scoring models. Currently, it has a very simple linear scoring model for users."
"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."
"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."
"You are always limited with visibility on the host due to the fact that it is a network based tool. It gives you visibility on certain elements of the attack path, but it doesn't necessarily give you visibility on everything. Specifically, the initial intrusion side of things that doesn't necessarily see the initial compromise. It doesn't see stuff that goes on the host, such as where scripts are run. Even though you are seeing traffic, it doesn't necessarily see the malicious payload. Therefore, it's very difficult for it to identify these type of host-driven complex attacks."
"We have a lot of system solutions and integrations with system solutions. Vectra is a type of black box. It implements AI-informed detection mechanisms, but we cannot create system detections. I understand that the product is designed this way, but it would be great if we could create our own detections as well."
"Integration with other security components needs improvement. It should have true integration as opposed to just being a separate pane of glass."
"There is room for improvement in the documentation. We would like to have more details on how it detects what we see."
"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."
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.
