We performed a comparison between Arista NDR and Vectra AI based on real PeerSpot user reviews.
Find out in this report how the two Network Traffic Analysis (NTA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The query language that they have is quite valuable, especially because the sensor itself is storing some network activity and we're able to query that. That has been useful in a pinch because we don't necessarily use it just for threat hunting, but we also use it for debugging network issues. We can use it to ask questions and get answers about our network. For example: Which users and devices are using the VPN for RDP access? We can write a query pretty quickly and get an answer for that."
"This solution help us monitor devices used on our network by insiders, contractors, partners, or suppliers. Its correlation and identification of specific endpoints is very good, especially since we have a large, virtualized environment. It discerns this fairly well. Some of the issues that we have had with other tools is we sometimes are not able to tell the difference between users on some of those virtualized instances."
"The most valuable portion is that they offer a threat-hunting service. Using their platform, and all of the data that they're collecting, they actually help us be proactive by having really expert folks that have insight, not just into our accounts, but into other accounts as well. They can be proactive and say, 'Well, we saw this incident at some other customer. We ran that same kind of analysis for you and we didn't see that type of activity in your network.'"
"It gives us something that is almost like an auditing tool for all of our network controls, to see how they are performing. This is related to compliance so that we can see how we are doing with what we have already implemented. There are things that we implemented, but we really didn't know if they were working or not. We have that visibility now."
"Arista NDR's scalability is very good, making it easy to add more hardware components. You can order additional hardware and integrate it by stacking it with the existing setup. This feature cannot be seen in other NDR tools."
"The most valuable feature is the ability to see suspicious activity for devices inside my network. It helps me to quickly identify that activity and do analysis to see if it's expected or I need to mitigate that activity quickly."
"The security knowledge graph has been very helpful in the sense that whenever you try a new security solution, especially one that's in the detection and response market, you're always worried about getting a lot of false positives or getting too many alerts and not being able to pick out the good from the bad or things that are actual security incidents versus normal day to day operations. We've been pleasantly surprised that Awake does a really good job of only alerting about things that we actually want to look into and understand. They do a good job of understanding normal operations out-of-the-box."
"Other solutions will say, "Hey, this device is doing something weird." But they don't aggregate that data point with other data points. With Awake you have what's called a "fact pattern." For example, if there's a smart toaster on the third floor that is beaconing out to an IP address in North Korea, sure that's bizarre. But if that toaster was made in North Korea it's not bizarre. Taking those two data points together, and automating something using machine-learning is something that no other solution is doing right now."
"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 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 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 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."
"Some valuable features of Vectra AI are that it is very intuitive and that there are only a small amount of false positives. Therefore, it's an effective solution."
"Vectra AI helped our team be more productive and save time. We have less work thanks to it."
"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."
"The solution is currently used as a central threat detection and response system."
"One concern I do have with Awake is that, ideally, it should be able identify high-risk users and devices and entities. However, we don't have confidence in their entity resolution, and we've provided this feedback to Awake. My understanding is that this is where some of the AI/ML is, and it hasn't been reliable in correctly identifying which device an activity is associated with. We have also encountered issues where it has merged two devices into one entity profile when they shouldn't be merged. The entity resolution is the weakest point of Awake so far."
"They've been focused on really developing their data science, their ability to detect, but over time, they need to be able to tie into other systems because other systems might detect something that they don't."
"When I looked at the competitors, such as Darktrace, they all have prettier interfaces. If Awake could make it a little more user-friendly, that would go a long way."
"I would like to see a bit more in terms of encrypted traffic. With the advent of programs that live off the land, a smart attacker is going to leverage encryption to execute their operation. So I would like to see improvements there, where possible. Currently, we're not going to be decrypting encrypted traffic. What other approaches could be used?"
"One thing I would like to see is a little bit more education or experience on AWS cloud for their managed services team. We've explained how we have the information set up, that the traffic coming in goes to the AWS load balancer and then gets sent on to our internal servers... but when I get notices they always tell me this traffic is coming from the IPs belonging to the load balancers, not the source IPs. So a little bit more education for their team about how AWS manages the traffic might help out."
"I enjoy the query language, but it could be a bit more user-friendly, especially for new users who come across it... They should push it more into a natural language style as opposed to a query language."
"There's room for improvement with some of the definitions, because I don't have time and I'm not a Tier 4 analyst. I believe that is something they're working towards."
"Arista NDR needs to open legal offices to be closer to customers and partners. It needs more visibility in the NDR market in the Middle East. While they are doing well, they lack sufficient engineers. They need to hire more engineers to meet the demand and expand their presence. The current team is good but not enough to fully capture the market."
"The UI/UX and detection could be improved. More detections of specific security events could be useful. We've had a few incidents that were not detected by Vectra. The teams are working on it right now, but more detection is always better."
"The false positives and the tuning side of it is something that could use improvement. But that could be from our side."
"The solution needs to become more proactive. When Vectra AI is the primary solution in an environment - like it is in our case - you must work on response time. We have a small team so response time at endpoint level is vital."
"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."
"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."
"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 would like to see more information with the syslogs. The syslogs that they send to our SIEM are a bit short compared to what you can see. It would be helpful if they send us more data that we can incorporate into our SIEM, then can correlate with other events."
"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."
Arista NDR is ranked 8th in Network Traffic Analysis (NTA) with 14 reviews while Vectra AI is ranked 2nd in Network Traffic Analysis (NTA) with 40 reviews. Arista NDR is rated 9.0, while Vectra AI is rated 8.6. The top reviewer of Arista NDR writes "Gives us network layer visibility into things that may not be covered by other monitoring tools, such as shadow IT". On the other hand, the top reviewer of Vectra AI writes "Integrates well with other security solutions and provides good technical support". Arista NDR is most compared with Palo Alto Networks Advanced Threat Prevention, Trend Micro Deep Discovery, Cisco Secure Network Analytics, Darktrace and ExtraHop Reveal(x), whereas Vectra AI is most compared with Darktrace, ExtraHop Reveal(x), Cisco Secure Network Analytics, Corelight and Trend Micro Deep Discovery. See our Arista NDR vs. Vectra AI report.
See our list of best Network Traffic Analysis (NTA) vendors and best Network Detection and Response (NDR) vendors.
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