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.
Chief Technology Officer at a financial services firm with 11-50 employees
Real User
2021-11-18T21:15:00Z
Nov 18, 2021
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 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.
Head of Information Security at a engineering company with 10,001+ employees
Real User
2021-02-10T01:39:00Z
Feb 10, 2021
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.
Director of Projects and IT at a healthcare company with 201-500 employees
Real User
2021-01-15T07:03:00Z
Jan 15, 2021
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.
Chief Security Officer at a university with 1,001-5,000 employees
Real User
2021-01-14T14:20:00Z
Jan 14, 2021
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.'
Senior Analyst Security and Compliance at a insurance company with 5,001-10,000 employees
Real User
2020-07-19T08:15:00Z
Jul 19, 2020
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.
Chief Information Security Officer at Dolby Laboratories
Real User
2020-07-16T06:21:00Z
Jul 16, 2020
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.
CISO at a insurance company with 1,001-5,000 employees
Real User
2020-05-03T06:36:00Z
May 3, 2020
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.
Director of Information Security at Prophix Software
Real User
2020-01-29T11:22:00Z
Jan 29, 2020
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.
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.
Senior Security Engineer at a pharma/biotech company with 1,001-5,000 employees
Real User
2019-09-10T09:04:00Z
Sep 10, 2019
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.
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.
Arista NDR (formerly Awake Security) is the only advanced network detection and response company that delivers answers, not alerts. By combining artificial intelligence with human expertise, Arista NDR hunts for both insider and external attacker behaviors, while providing autonomous triage and response with full forensics across traditional, IoT, and cloud networks. Arista NDR delivers continuous diagnostics for the entire enterprise threat landscape, processes...
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.
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 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 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.
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 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.'
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.
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.
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.
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.
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 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.
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.