We performed a comparison between Arista NDR and Sangfor Cyber Command based on real PeerSpot user reviews.
Find out what your peers are saying about Darktrace, Vectra AI, Cisco and others in Network Detection and Response (NDR)."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."
"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 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 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 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.'"
"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."
"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."
"The tool is a good product in the NDR market. Its valuable features are ease of management and breach of response features. It is an easy-to-learn solution."
"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."
"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."
"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 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 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."
"The product needs to improve its dashboard. Integration with existing systems has been challenging. When comparing it with Trend Micro, which offers an all-in-one NDR solution, the tool's integration process can be difficult."
Earn 20 points
Arista NDR is ranked 8th in Network Detection and Response (NDR) with 14 reviews while Sangfor Cyber Command is ranked 12th in Network Detection and Response (NDR) with 1 review. Arista NDR is rated 9.0, while Sangfor Cyber Command is rated 7.0. 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 Sangfor Cyber Command writes "An NDR and XDR solution with good ease of management and breach of response features". Arista NDR is most compared with Palo Alto Networks Advanced Threat Prevention, Vectra AI, Trend Micro Deep Discovery, Cisco Secure Network Analytics and Darktrace, whereas Sangfor Cyber Command is most compared with Darktrace, Cynet and Cisco Secure Network Analytics.
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