We performed a comparison between Arista NDR and Splunk User Behavior Analytics 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)."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."
"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."
"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."
"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."
"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 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."
"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 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."
"It's easily scalable."
"The solution is definitely scalable."
"This intelligent user behavior analytics package is easy to configure and use while remaining feature filled."
"The solution is fast, flexible, and easy to use."
"It's straightforward in terms of configuration and troubleshooting and log management and monitoring as well. These are the edge points in addition to it being a modular solution where you can capitalize on your current licenses with extra licensing models, which can match the customer's business requirement and it can help the customer to design or to actually plan for their own roadmap."
"Because of some of the visualizations that we utilize, we are able to understand strange, unusual traffic on our networks."
"The most valuable feature is being able to take data and put it into other systems so that we could see the output, and to see where we need to apply our focus."
"We are really pleased with Splunk and its features. It would be practically impossible to function without it. To provide a general overview of the system, it's important to note that the standard log files are currently around 250 gigabytes per day. It would be impossible to manually walk through these logs by hand, which is why automation is essential."
"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."
"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."
"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."
"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."
"While the appliance is very good, and I think they're working on it, it would probably help if they integrated the management team cases into the appliance so that everything we are working on with them would be accessible on our platform, on the dashboard, on the portal. Right now, Awake is just an additional team that uses the appliance that we use and then we communicate with them directly. Communication isn't through the portal."
"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?"
"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."
"There are occasional bugs."
"The price of Splunk UBA is too high."
"The solution is much more expensive than relative competitors like ArcSight or LogRhythm. It makes it hard to sell to customers sometimes."
"I would like improved downward integration with other tools such as McAfee and other GCP solutions."
"In the future I would like to see simplified statistics and analytical threats."
"It could be easier to scale the solution if you are using it on-premise, not in the cloud."
"The initial setup was complex because some of the configurations that we required needed customization."
"The correlation engine should have persistent and definable rules."
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Arista NDR is ranked 8th in Network Traffic Analysis (NTA) with 14 reviews while Splunk User Behavior Analytics is ranked 2nd in User Entity Behavior Analytics (UEBA) with 17 reviews. Arista NDR is rated 9.0, while Splunk User Behavior Analytics is rated 8.2. 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 Splunk User Behavior Analytics writes "Easy to configure and easy to use solution that integrates with many applications and scripts ". Arista NDR is most compared with Palo Alto Networks Advanced Threat Prevention, Vectra AI, Trend Micro Deep Discovery, Cisco Secure Network Analytics and Plixer Scrutinizer, whereas Splunk User Behavior Analytics is most compared with Darktrace, Microsoft Defender for Identity, IBM Security QRadar, Varonis Datalert and Cynet.
We monitor all Network Traffic Analysis (NTA) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
