We performed a comparison between IBM Security Network IPS and Vectra AI based on real PeerSpot user reviews.
Find out in this report how the two Intrusion Detection and Prevention Software (IDPS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The initial setup is simple."
"The most valuable feature is its simplicity."
"One of the most valuable features is all the correlation that it does using AI and machine learning. An example would be alerting on a host and then alerting on other things, like abnormal behavior, that it has noticed coming from the same host. It's valuable because we're a very lean team."
"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."
"What I like best about Vectra AI is that it alerts you about suspicious activities."
"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."
"The core product provides excellent visibility, but my favorite feature is Vectra Recall."
"It has reduced the time it takes to respond to attacks. That comes back to the proactive point. It makes us able to lower down in the kill chain, we can react now, rather than reacting to incidents that happened, we can see an instant, in some cases, as it's being implemented, or as it's being launched."
"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."
"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."
"I'd like to see more integration with other tools and technologies."
"In the future, I would like to see a hybrid option so that we can work both on-premises and in the cloud."
"There is room for improvement in the documentation. We would like to have more details on how it detects what we see."
"The main improvement I can see would be to integrate with more external solutions."
"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."
"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."
"It does a little bit of packet capture on alert so you can look at the packet capture activity going on, but it doesn't collect a whole lot of data. Sometimes it's only one or two frames, sometimes it does collect more. That's why they have the addition of their Recall platform, because that really does help expand the capability."
"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."
"The solution's marketing is not good."
"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."
IBM Security Network IPS is ranked 24th in Intrusion Detection and Prevention Software (IDPS) with 4 reviews while Vectra AI is ranked 2nd in Intrusion Detection and Prevention Software (IDPS) with 40 reviews. IBM Security Network IPS is rated 7.2, while Vectra AI is rated 8.6. The top reviewer of IBM Security Network IPS writes "User-friendly and has a good blocking feature but is quite expensive". On the other hand, the top reviewer of Vectra AI writes "Integrates well with other security solutions and provides good technical support". IBM Security Network IPS is most compared with Darktrace, Palo Alto Networks Advanced Threat Prevention and Cisco Secure Network Analytics, whereas Vectra AI is most compared with Darktrace, ExtraHop Reveal(x), Cisco Secure Network Analytics, Arista NDR and Corelight. See our IBM Security Network IPS vs. Vectra AI report.
See our list of best Intrusion Detection and Prevention Software (IDPS) vendors.
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