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.
"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."
"The interface itself is clean and easy to use, yet customizable. I like that I can create my own dashboards fairly easily so that I can see what is important to me. Also, the query language is pretty easy to use. I haven't needed to use it a ton, but as I need to go in and do different queries based on their requests, it has been fairly simple to use."
"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."
"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 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 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."
"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."
"The query language makes it easy to query the records on the network, to do searches for the various threat activities that we're looking for. The dashboard, the Security Knowledge Graph, displays information meaningfully and easily. I am able to find the information that I want to find pretty quickly."
"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 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."
"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."
"One of the things that we didn't expect to happen was that our network team also jumped on it faster than we thought. In most cases, if it's a security tool that's working on the network part, they can also use it to find out certain flaws that have been in the system. Certain flaws, related to some legacy stuff, were already there for quite a few years, which they couldn't explain at first, but we could explain them based on the timing of certain things."
"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."
"The packet-capturing feature is very useful."
"What I like best about Vectra AI is that it alerts you about suspicious activities."
"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."
"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."
"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 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."
"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."
"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."
"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 would like to see the capability to import what's known as STIX/TAXII in an IOC format. It currently doesn't offer this."
"Some of the customization could be improved. Everything is provided for you as an easy solution to use, but working with it and doing specific development could be worked on a bit more in the scope of an incident response team."
"What is most important for us is to have one place where we can manage a few brains because we are based on a zero-trust network. As a result, each customer needs to have a separate brain. For the SOC team, we need to have one place where the SOC analyst can go to visit the website and from that site manage all of the customers. Right now, Vectra AI doesn't have this capability, and I would really like to have this feature."
"ExtraHop has better features that seem more advantageous when compared to Vectra."
"One of the things I am not so happy about when it comes to Vectra is the scoring board."
"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."
"The main improvement I can see would be to integrate with more external solutions."
"I'd like to be able to get granular reports and to be able to output them into formats that are customizable and more useful. The reporting GUI is lacking."
"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."
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 42 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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