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)."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."
"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."
"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 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."
"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 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."
"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."
"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."
"The solution's most valuable feature is Splunk queries, which allow us to query the logs and analyze the attack vectors."
"It's easily scalable."
"The solution is fast, flexible, and easy to use."
"The solution appears to be stable, although we haven't used it heavily."
"The most valuable feature is the ability to search through a large amount of data."
"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."
"The product is at the forefront of auto-remediation networking. It's great."
"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."
"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."
"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."
"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."
"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."
"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."
"They should work to add more built-in correlation searches and more use cases based on worldwide customer experiences. They need more ready-made use cases."
"There are occasional bugs."
"It could be easier to scale the solution if you are using it on-premise, not in the cloud."
"The price of Splunk UBA is too high."
"We want to have an automated system for bot hunting that enables us to detect anomalies predictively based on historical data. It would be helpful if Splunk included process mining as an alternative option. We have a threat workflow, but it would be useful if we could supplement that with some process mining capabilities over time."
"We'd like the ability to do custom searches."
"The initial setup was complex because some of the configurations that we required needed customization."
"I would like improved downward integration with other tools such as McAfee and other GCP solutions."
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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 18 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 Darktrace, whereas Splunk User Behavior Analytics is most compared with Darktrace, Microsoft Defender for Identity, IBM Security QRadar, Cynet and Exabeam Fusion SIEM.
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