Arista NDR vs Vectra AI comparison

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Arista NDR

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Executive SummaryUpdated on Nov 6, 2024

Vectra AI and Arista NDR are prominent competitors in the realm of network detection and response solutions. Vectra AI appears to have the upper hand due to its precise detection capabilities through AI-enabled filtering and triaging, which are highly praised in reducing alert fatigue.

Features: Vectra AI emphasizes detection precision with AI-enabled filtering and triaging, comprehensive attack lifecycle visibility, and risk-based threat prioritization. Arista NDR is known for its detailed traffic analysis, enriched security insights, and real-time enhanced visibility, coupled with its praised detailed reporting capabilities.

Room for Improvement: Vectra AI could benefit from better integration with third-party systems and improved management of complex host-driven threats. Enhancements for tracking multiple attack sources and better integrating host behavior analysis are needed. Arista NDR should expand its geographic presence and enhance engineering support, especially in underrepresented markets.

Ease of Deployment and Customer Service: Both Vectra AI and Arista NDR offer strong technical support. Vectra AI is recognized for its robust customer service structure, ensuring responsive support. Arista NDR is appreciated for its responsive customer service due to a close-knit support team, but might benefit from an expanded support infrastructure as the company grows.

Pricing and ROI: Vectra AI’s licensing is costly but seen as a valuable investment for enterprises focusing on threat detection. Arista NDR offers competitive pricing, making it a budget-friendly option, ideal for firms seeking cost-effective MDR service integration. Both solutions provide ROI by reducing incident response times and enhancing network security efficiency, though Vectra AI’s complex licensing may deter some customers.

To learn more, read our detailed Arista NDR vs. Vectra AI Report (Updated: April 2025).

Arista NDR vs. Vectra AI

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Arista NDR

Ranking in Network Detection and Response (NDR)

10th

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Network Traffic Analysis (NTA) (6th)

Vectra AI

Ranking in Network Detection and Response (NDR)

2nd

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Intrusion Detection and Prevention Software (IDPS) (3rd), Extended Detection and Response (XDR) (15th), Identity Threat Detection and Response (ITDR) (10th), AI-Powered Cybersecurity Platforms (6th)

Mindshare comparison

As of May 2025, in the Network Detection and Response (NDR) category, the mindshare of Arista NDR is 4.1%, down from 5.4% compared to the previous year. The mindshare of Vectra AI is 16.2%, down from 17.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Detection and Response (NDR)

Featured Reviews

reviewer1719513

Chief Technology Officer at a financial services firm with 11-50 employees

it's much easier to create your own queries and hunt for threats

We take in IOCs from my SOC and from AlienVault, and then we focus on traffic that hits IOCs and alerts us to it. 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. Awake didn't support the manual importation of CSV and JSON in version 3.0, but they added it in version 4.0. It's helpful, but it still has to be a specific CSV format. Automated IOCs are on the roadmap. Hopefully, they will be able to automate the ingestion of IOCs by Q1 next year. I'm currently leveraging Mind Meld, an open-source tool by Palo Alto, to ingest IOCs from external parties. I aggregate those lists and spit them out as a massive list of domains, hashes, file names, IPS. Then we aggregate those into their own specific categories, like a URL category. Awake ingests that just like the Palo Alto firewall does, and then it alerts me if traffic attempts to go into it. Some of that is already on the Palo Alto firewall, which blocks it, but that doesn't mean that there is no attempted communication. I want to know if there's a communication attempt because there might be an indicator on that specific device trying to reach an IOC. Yes, my Palo Alto blocked it, but there's still something odd sitting there, and what if it can reach a different IOC that I don't have information about? I want to focus on it. I could do that by leveraging Awake if it could ingest the IOCs automatically. That's something I leverage Awake for today. I still have to manually import it, which is cumbersome because I have to manipulate the files that I get from the different IOC providers into a specific format that it understands. Once they add the ability to automate that, it'll be more useful.

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Mohammad Alkurdi

Owner at Fortibits

Innovative detection features enhance monitoring

The advantages of the integration are not entirely out-of-the-box. You have to do it manually. When I'm doing tier response, an out-of-the-box solution is not available. You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end. This is a major consideration about them. The recall feature, if it can be placed in some areas instead of the cloud, and charged for, would be better. Recall the storage where you watch all the traffic, and you can recall it and try to analyze it in the back end. It’s cloud-based. If they offer it on-prem, it would be better. I think they have a solution, but I have never tested it, to be honest with you.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

"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."

"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 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 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."

"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 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."

"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."

More Arista NDR pros

"It has reduced the time it takes to respond to attacks. That comes back to the proactive point. It makes us able to lower down in the kill chain, we can react now, rather than reacting to incidents that happened, we can see an instant, in some cases, as it's being implemented, or as it's being launched."

"Vectra AI can bring the ability to detect intrusion on the network more so than legacy IDS tools."

"The administrative privilege detection feature is the most valuable feature. The admin accounts are often highly accessible to the high-risk component of the environment. If those accounts are compromised or are being used in a suspicious manner, that's high-fidelity events for us to look into."

"Vectra produces actionable data using automation. That has helped us. It's less manpower now to look at incidents, which has definitely increased efficiency. Right now, in a lot of cases, our mean time to detection is within zero days. This tells me by the time something happened, and we were able to detect it, it was within the same day."

"The most useful feature is the anomaly detection because it's not signature-based. It picks up the initial part of any attack, like the recon and those aspects of the kill chain, very well."

"We particularly like the user experience around the dashboard, which we find to be much more straightforward than the dashboard of some of the competitive products... Vectra is a really easy system to understand and use to prioritize where we need to focus our security resources."

"I like the way that Vectra AI focuses on the internal network. Nowadays, most of the attackers are already inside, and they can be inside for many years before they start attacking. With normal monitoring, it's quite difficult to find them."

"The biggest feature for us, because we are heavy Microsoft users, is its integration with Office 365. On top of Vectra AI, we use all of the Microsoft security platforms, such as Defender ATP and Sentinel. Having full integration and a central platform to look at all of the threats that are coming through from the different platforms is a huge benefit for us."

More Vectra AI pros

Cons

"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 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?"

"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."

"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 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."

"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."

"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."

More Arista NDR cons

"An area for improvement in Vectra AI is reporting because it currently needs some details. For example, when you download a report from Vectra AI, you won't see complete information about the alerts or triggers. Another area for improvement in the tool is that sometimes, an alert has high severity, yet it's marked as low severity. Vectra AI should have a mechanism to change the severity level from low to high or critical."

"They use a proprietary logging format that is probably 90% similar to Bro Logs. Their biggest area of improvement is finishing out the remaining 10%. That 10% might not be beneficial to their ML engine, but that's fine. The industry standard is Zeek Logs or Bro Logs, or Bro or Zeek, depending on how old you are. While they have 90% of those fields, they're still missing some fields. In very rare instances, some community rules do not have the fields that they need, and we had to modify community rules for our logs. So, their biggest area of improvement would be to just finish their matching of the Zeek standard."

"For S&D account scans, it would be easier if Vectra AI could triage with users. If a client uses a lot of accounts, then it could indicate that these accounts are benign, for example. That would help a lot."

"Vectra Recall could be utilized much more, and I'm seeing some indications of that today with the investigative components. I use the Visualize feature to visualize components and dashboards a lot. I'm interested in new ways to build automated searches or having them leveraged already from Vectra."

"I think Vectra AI's automation, reporting, and integration could be improved."

"You are always limited with visibility on the host due to the fact that it is a network based tool. It gives you visibility on certain elements of the attack path, but it doesn't necessarily give you visibility on everything. Specifically, the initial intrusion side of things that doesn't necessarily see the initial compromise. It doesn't see stuff that goes on the host, such as where scripts are run. Even though you are seeing traffic, it doesn't necessarily see the malicious payload. Therefore, it's very difficult for it to identify these type of host-driven complex attacks."

"We are using SMB 3.0, which is an encrypted protocol. When we get some alerts or something, we cannot go deep into the protocol to see what's wrong because it's encrypted. We need to decrypt the protocol in another way, which is quite difficult. We might go back to SMB 2.0 just for this reason, but that's not a good solution."

"The UI/UX and detection could be improved. More detections of specific security events could be useful. We've had a few incidents that were not detected by Vectra. The teams are working on it right now, but more detection is always better."

More Vectra AI cons

Pricing and Cost Advice

"Because I represent a hedge fund, I have some leverage. I told them that they had to meet my conditions if they wanted me as a client. It was the same way with Awake. They wanted an initial four-year agreement. Initially, we signed on for a one-year contract, but they wanted the four-year deal when it came time for the renewal. I told them that I was not doing that. I said that they either had to do it on my terms, or I'd go somewhere else."

"The pricing seems pretty reasonable for what we get out of it. We also found it to be more competitive than some other vendors that we've looked at."

"Awake's pricing was very competitive. It's not a cheap option though. It's an investment to utilize it, but it's one that we decided was worth the cost, with the managed services. At our scale, it was a much better option to utilize their software and their managed services to handle this, rather than hiring another person to be an analyst. It was quite cost-effective for us."

"The solution is very good and the pricing is also better than others..."

"Awake Security was the least expensive among their competitors. Everyone was within $15,000 of each other. The other solutions were not providing the MNDR service, which is standard with Awake Security's pricing/licensing model."

"We switched to Awake Security because they were able to offer a model that was significantly less expensive and the value that we get out of it is higher."

"The solution has saved thousands of dollars within the first day. Our ROI has to be in the tens of thousands of dollars since October last year."

"From a licensing perspective, the Vectra detect platform is pretty doable. Also, the hardware prices are nothing that we're not used to. The stream part is a little overpriced compared to the detect part. The reason is that you need to stream data to detect events anyway, so the data is in there. The only thing that's not available is the UI to be able to look at the stream data, which is also on the appliances but is just not activated. That's mainly the thing that we want to improve on."

"From a pricing perspective, they are very commercially competitive. From a licensing perspective, just be conscious that some of their future cloud solutions come with additional subscriptions. Also, if you're outside of the US, you will get charged freight for the device back to your country."

"The license is based on the concurrent IP addresses that it's investigating. We have 9,800 to 10,000 IP addresses."

"The pricing and licensing are quite straightforward because they're based on the IP licenses. As a result, they are easy to count."

"Vectra AI's pricing is cheaper than that of Darktrace."

"It is an expensive solution, but it's not the most expensive we've seen. We also know how much we're going to pay, unlike with some other providers where all of a sudden our license explodes."

"Vectra's pricing is too high. All schools will not be able to afford it. Vectra will only end up targeting higher education and higher value independence purely because of the price. A lot of schools would love to have a product like Vectra AI, but they simply can't because they struggle to even pay the high E5 licensing from Microsoft. When you're up against that, Vectra AI is never going to be within the sector's price range."

"The pricing is high."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

18%

Financial Services Firm

11%

Government

Real Estate/Law Firm

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Arista NDR?

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...

What is your experience regarding pricing and costs for Arista NDR?

The tool's pricing is expensive but it is competitive.

What needs improvement with Arista NDR?

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 enginee...

What is the biggest difference between Corelight and Vectra AI?

The two platforms take a fundamentally different approach to NDR. Corelight is limited to use cases that require the eventual forwarding of events and parsed data logs to a security team’s SIEM or ...

What do you like most about Vectra AI?

The solution is currently used as a central threat detection and response system.

What is your experience regarding pricing and costs for Vectra AI?

It is very acceptable when you compare it with Darktrace, for example.

Cisco Secure Network Analytics vs Arista NDR

Comparisons

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Trend Micro Deep Discovery vs Arista NDR

Compared 12% of the time

Darktrace vs Arista NDR

Compared 10% of the time

ExtraHop Reveal(x) vs Arista NDR

Compared 8% of the time

Palo Alto Networks Advanced Threat Prevention vs Arista NDR

Compared 6% of the time

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Darktrace vs Vectra AI

Compared 31% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 11% of the time

Corelight vs Vectra AI

Compared 7% of the time

Cisco Secure Network Analytics vs Vectra AI

Compared 6% of the time

LinkShadow NDR vs Vectra AI

Compared 3% of the time

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Product Reports

Arista NDR

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Download Vectra AI product report

Also Known As

Awake Security Platform

Vectra Networks, Vectra AI NDR

Overview

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 countless network data points, senses abnormalities or threats, and reacts if necessary—all in a matter of seconds. The Arista NDP platform stands out from traditional security because it is designed to mimic the human brain. It recognizes malicious intent and learns over time, giving defenders greater visibility and insight into what threats exist and how to respond to them.

The Advent of Advanced Network Detection and Response & Why it Matters

The 5 Levels of Autonomous Security paper

Arista

Vectra AI is used for detecting network anomalies and potential malicious activities, providing visibility into network traffic and enhancing threat detection across environments.

Organizations deploy Vectra AI mainly on-premises with additional cloud components. It helps with compliance, incident response, security monitoring, detecting insider threats, and correlating network events. Vectra AI captures and enriches network metadata, provides detailed dashboards, reduces false positives, and supports cross-environment behavioral analysis to enhance threat detection and prioritization. While valued for its high accuracy and alert aggregation, it has room for improvement in UI/UX, packet management, and integration with SIEMs and other tools. It is noted for expensive pricing and limited proactive threat response features.

What are Vectra AI's most valuable features?

High accuracy in identifying threat locations
Aggregation of alerts into single incidents
24/7 threat detection
Visibility into the entire attack lifecycle
Risk score aggregation
Effective triaging of alerts
Integration with other tools

What benefits or ROI should users look for?

Enhanced threat detection and prioritization
Comprehensive network visibility
Reduction in false positives
Better incident response capabilities
Improved compliance monitoring

In specific industries, Vectra AI is deployed to monitor complex networks and alleviate challenges in threat detection. It is particularly effective in sectors requiring stringent compliance and security measures, offering insights and capabilities crucial for protecting sensitive data and maintaining operational integrity.

Sample Customers

- Dolby Laboratories- Seattle Genetics- ARM Energy- Ooma- Prophix- Yapstone

Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association

Arista NDR vs. Vectra AI