We performed a comparison between Arista NDR and Iris Session Analyzer based on real PeerSpot user reviews.
Find out what your peers are saying about Darktrace, Vectra AI, Auvik and others in Network Traffic Analysis (NTA)."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."
"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 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."
"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."
"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 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."
"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 feature that I have found the most useful is the decode of packets. It gives us a variety of information that helps us in figuring out what to look at. The networks are getting really complex, and without the information that we get from Iris Session Analyzer, we couldn't do our job. Its graphical user interface is also very easy to use and intuitive."
"A great feature is the memory utilization graph."
"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."
"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?"
"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."
"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."
"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."
"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."
"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 can increase flexibility in the search engine. Basically, I go with the information I have at the time. If I could just type in the parameter that I want to search for and its value, it might be easier than having to do the groundwork upfront before I can get my traces."
"Sometimes the network analyzer will show that a server is down when it's actually working."
Arista NDR is ranked 8th in Network Traffic Analysis (NTA) with 14 reviews while Iris Session Analyzer is ranked 13th in Network Traffic Analysis (NTA) with 2 reviews. Arista NDR is rated 9.0, while Iris Session Analyzer is rated 8.0. 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 Iris Session Analyzer writes "Provides a memory utilization graph and shows disk space and uplink utilization but could include smart navigation in next release". 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 Iris Session Analyzer is most compared with .
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