We performed a comparison between Cisco Sourcefire SNORT 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."Cisco Sourcefire SNORT is easy to configure and the reporting is great. It's also very user-friendly."
"It is quite an intelligent product."
"The solution is stable."
"The administrative privilege detection feature is the most valuable feature. The admin accounts are often highly accessible to the high-risk component of the environment. If those accounts are compromised or are being used in a suspicious manner, that's high-fidelity events for us to look into."
"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."
"The most useful feature is the anomaly detection because it's not signature-based. It picks up the initial part of any attack, like the recon and those aspects of the kill chain, very well."
"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."
"Cognito Streams gives you a detailed view of what happens in the network in the form of rich metadata. It is just a super easy way to capture network traffic for important protocols, giving us an advantage. This is very helpful on a day-to-day basis."
"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."
"What I like best about Vectra AI is that it alerts you about suspicious activities."
"The cloud can be improved."
"The implementation could be a bit easier."
"I did not experience any pain points that required improvement. Maybe a couple of false-positives, but that's about it."
"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."
"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 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."
"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."
"I would like more integrations with IOCs and threats currently on the Internet. I would also like to know which threats are based on zero-day attacks, current botnets, etc. Therefore, I would like more information on external threats."
"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."
"Integration with other security components needs improvement. It should have true integration as opposed to just being a separate pane of glass."
Cisco Sourcefire SNORT is ranked 16th in Intrusion Detection and Prevention Software (IDPS) with 3 reviews while Vectra AI is ranked 5th in Intrusion Detection and Prevention Software (IDPS) with 7 reviews. Cisco Sourcefire SNORT is rated 7.6, while Vectra AI is rated 9.2. The top reviewer of Cisco Sourcefire SNORT writes "Intelligent with good threat detection capabilities but could be easier to implement". On the other hand, the top reviewer of Vectra AI writes "Gives us a greater level of confidence that we will be able to detect threats more quickly". Cisco Sourcefire SNORT is most compared with Check Point IPS, Fortinet FortiGate IPS, Palo Alto Networks Threat Prevention, Cisco NGIPS and Darktrace, whereas Vectra AI is most compared with Darktrace, Cisco Secure Network Analytics, ExtraHop Reveal(x), Corelight and Palo Alto Networks Threat Prevention. See our Cisco Sourcefire SNORT vs. Vectra AI report.
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