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 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.'"
"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."
"When I create a workbench query in Awake to do threat hunting, it's much easier to query. You get a dictionary popup immediately when you try to type a new query. It says, "You want to search for a device?" Then you type in "D-E," and it gives you a list of commands, like device, data set behavior, etc. That gives you the ability to build your own query."
"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."
"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."
"We appreciate the value of the AML (structured query language). We receive security intel feeds for a specific type of malware or ransomware. AML queries looking for the activity is applied in almost real-time. Ultimately, this determines if the activity was not observed on the network."
"This solution’s encrypted traffic analysis helps us stay in compliance with government regulations. It is all about understanding data exfiltration, what is ingressing and egressing in our network. One common attack vector is exfiltrating data using encryption. My capabilities to see potential data exfiltration over encrypted traffic is second to none now."
"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 biggest feature for us, because we are heavy Microsoft users, is its integration with Office 365. On top of Vectra AI, we use all of the Microsoft security platforms, such as Defender ATP and Sentinel. Having full integration and a central platform to look at all of the threats that are coming through from the different platforms is a huge benefit for us."
"One of the most valuable features of the platform is its ability to provide you with aggregated risk scores based on impact and certainty of threats being detected. This is both applied to individual and host detections. This is important because it enables us to use this platform to prioritize the most likely imminent threats. So, it reduces alert fatigue follow ups for security operation center analysts. It also provides us with an ability to prioritize limited resources."
"We discovered a lot of things in our network and are correcting several misconfigurations. We are learning how some apps work together and how some things shouldn't happen. It's also easier for us to identify the source of a brute force, whereas before, we didn't even know we had a brute force."
"Vectra AI generates relevant information."
"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."
"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 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."
"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."
"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."
"Be prepared to update your SOPs to have your analysts work in another tool separately. There are some limitations in the integrations right now. One of the things that I want from a security standpoint is integration with multiple tools so I don't need to have my analysts logging into each individual tool."
"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."
"I would like to see the capability to import what's known as STIX/TAXII in an IOC format. It currently doesn't offer this."
"The one thing that the Awake platform lacks is the ability to automate the ingestion of IOCs rather than having to import CSV files or JSON files manually."
"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."
"Awake Security needs to move to a 24/7 support model in the MNDR space. Once they do that, it will make them even better."
"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."
"Some of their integrations with other sources of data, like external threat feeds, took a bit more work than I had hoped to get integrated."
"In comparison with a lot of systems I used in the past, the false positives are really a burden because they are taking a lot of time at this moment."
"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."
"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."
"A blind spot that I have is around the ease with which you can automate threat intervention."
"Integration with other security components needs improvement. It should have true integration as opposed to just being a separate pane of glass."
"One of the things I am not so happy about when it comes to Vectra is the scoring board."
"The false positives and the tuning side of it is something that could use improvement. But that could be from our side."
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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