Corelight vs Vectra AI comparison

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Corelight

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Executive SummaryUpdated on Nov 6, 2024

Vectra AI and Corelight are contenders in the network security solutions space. Vectra AI seems to have the upper hand due to its advanced AI-driven alert management capabilities.

Features: Vectra AI offers capabilities like advanced alert management that consolidates alerts into manageable incidents, captures network metadata at scale for enhanced context, and provides functionalities like Cognito Recall and Cognito Detect for improved visibility. Corelight integrates with Zeek for robust open-source traffic analysis, facilitates easy deployment, and enables detailed traffic insights.

Room for Improvement: Vectra AI needs improvements in integrating with external solutions and enhancing its user interface for better engagement. Users seek better logging and visibility on host-driven attacks. Corelight, despite its open-source strengths, requires additional feature development and ease of use improvements. Its complexity can overwhelm and complicate pricing.

Ease of Deployment and Customer Service: Vectra AI is mainly deployed on-premises with hybrid options, boasting strong technical support that enhances customer satisfaction. Corelight, also primarily on-premises, benefits from excellent technical support due to its smaller size, although its scalability might face challenges as demand grows.

Pricing and ROI: Vectra AI's high pricing reflects its comprehensive offerings, delivering a good ROI by reducing attack response time. However, it is less accessible for smaller budgets. In contrast, Corelight's pricing is more affordable and open-source, appealing to technically adept users, though additional investments may be required to maximize its value.

To learn more, read our detailed Corelight vs. Vectra AI Report (Updated: September 2025).

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Corelight vs. Vectra AI

September 2025

Helped 869,089 peers since 2012

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

Corelight

Ranking in Network Detection and Response (NDR)

13th

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) (5th), Extended Detection and Response (XDR) (16th), Identity Threat Detection and Response (ITDR) (9th), AI-Powered Cybersecurity Platforms (6th)

Mindshare comparison

As of October 2025, in the Network Detection and Response (NDR) category, the mindshare of Corelight is 4.3%, down from 5.3% compared to the previous year. The mindshare of Vectra AI is 15.6%, down from 17.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Detection and Response (NDR) Market Share Distribution
Product	Market Share (%)
Vectra AI	15.6%
Corelight	4.3%
Other	80.1%

Network Detection and Response (NDR)

Q&A Highlights

Mazin Al-Shuaili

Head Of Retail Operations at a financial services firm with 201-500 employees

Jun 09, 2020

What is the biggest difference between Corelight and Vectra AI?

Corelight is a Zeek based solution for network behavior analysis and Vectra AI is a User Behavior based solution. If you are comparing these 2 systems you are comparing apples to oranges. You shouldn't be evaluating these products against each other as they address different use cases for your network. My guess is you are either looking for better network visibility and possibly network detection or you need to understand insider threats (User Behavior). If you need both then you need both tools.

An expensive solution to monitor internet traffic with multiple dashboards

Featured Reviews

HamadaElewa

Technical Sales Manager at Spire Solutions

The huge library especially the open source link, makes it the main engine for Corelight with some enhancements in the commercial version. It has a very powerful level, such as signature-based attacks or behavioral attacks, with enhancements in the design. It is very flexible for intelligent implementations like IPs, especially between big companies and banks. Corelight is easy to understand and monitor what is going on behind the team. The solution is already integrated with other systems like Suricata, Elastic, and Microsoft tools. It's very easy to integrate signature-based or behavior-based engines. You can use Elastic for the dashboards to get it from Corelight, along with all the benefits and expandability.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"It's easy to create additional dashboards specific to supporting specific tasks."

"It is easy to deploy and easy to handle."

"Corelight is easy to use."

"It's an easy way for us to get visibility in a client's environment."

"The most valuable feature is the embedded IDS from Suricata."

"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."

"It gives you access, with Recall, to instant visibility into your network through something like a SIEM solution. For us, being able to correlate all of this network data without having to manage it, has provided immediate value. It gives us the ability to really work on the stuff where I and my team have expertise, instead of having to manage a SIEM solution..."

"It's important for us that the user interface is easy to understand and that is the biggest benefit we see from Vectra AI."

"One of the things that we didn't expect to happen was that our network team also jumped on it faster than we thought. In most cases, if it's a security tool that's working on the network part, they can also use it to find out certain flaws that have been in the system. Certain flaws, related to some legacy stuff, were already there for quite a few years, which they couldn't explain at first, but we could explain them based on the timing of certain things."

"The key feature for me for Detect for Office 365 is that it can also concentrate all the information and detection at one point, the same as the network solution does. This is the key feature for me because, while accessing data from Office 365 is possible using Microsoft interfaces, they are not really user-friendly and are quite confusing to use. But Detect for Office 365 is aggregating all the info, and it's only the interesting stuff."

"The solution's ability to reduce alerts, by rolling up numerous alerts to create a single incident or campaign, helps in that it collapses all the events to a particular host, or a particular detection to a set of hosts. So it doesn't generate too many alerts. By and large, whatever alerts it generates are actionable, and actionable within the 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."

"Most of their use cases, including deployment, are managed by the tool itself, requiring less manual input from our team."

More Vectra AI pros

Cons

"The solution’s architecture is complex and difficult to understand. There are multiple machines and VMs."

"Machine learning could be a good improvement, but it's very costly."

"They can enhance the interface of the product. They can make it more interactive and also easier to use for feature access."

"Corelight hasn’t added features in a long time."

"In the next release, building a graphical user interface would be helpful."

"Some of the customization could be improved. Everything is provided for you as an easy solution to use, but working with it and doing specific development could be worked on a bit more in the scope of an incident response team."

"ExtraHop has better features that seem more advantageous when compared to Vectra."

"We would like to see more information with the syslogs. The syslogs that they send to our SIEM are a bit short compared to what you can see. It would be helpful if they send us more data that we can incorporate into our SIEM, then can correlate with other events."

"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."

"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."

"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."

"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."

"It does a little bit of packet capture on alert so you can look at the packet capture activity going on, but it doesn't collect a whole lot of data. Sometimes it's only one or two frames, sometimes it does collect more. That's why they have the addition of their Recall platform, because that really does help expand the capability."

More Vectra AI cons

Pricing and Cost Advice

"It's a yearly fee and depends on what you are looking for."

"We have a desire to increase our use. However, it all comes down to budget. It's a very expensive tool that is very difficult to prove business support for. We would like to have two separate networks. We have our corporate network and PCI network, which is segregated due to payment processing. We don't have it for deployed in the PCI network. It would be good to have it fully deployed there to provide us with additional monitoring and control, but the cost associated with their licensing model makes it prohibitively expensive to deploy."

"Their licensing model is antiquated. I'm not a fan of their licensing model. We have to pay for licensing based on four different things. You have to pay based on the number of unique IPs, the number of logs that we send through Recall and Stream, and the size of our environment. They need to simplify their licensing down to just one thing. It should be based on the amount of data, the number of devices, or something else, but there should be just one thing for everything. That's what they need to base their licensing on. Cost-wise, they're not cheap. They were definitely the most expensive option, but you get what you pay for. They're not the cheapest option."

"Vectra is a bit on the higher side in terms of price, but they have always been transparent. The reason that they are this good is that they invest, so they need to charge accordingly."

"Vectra AI is not a cheap solution."

"At the time of purchase, we found the pricing acceptable. We had an urgency to get something in place because we had a minor breach that occurred at the tail end of 2016 to the beginning of 2017. This indicated we had a lack of ability to detect things on the network. Hence, why we moved quickly to get into the tool in place. We found things like Bitcoin mining and botnets which we closed quickly. In that regard, it was worth the money."

"We are running at about 90,000 pounds per year. The solution is a licensed cost. The hardware that they gave us was pretty much next to nothing. It is the license that we're paying for."

"Cost is a big factor, as always. However, I think we have a very good price–performance ratio."

"The pricing is high."

More Vectra AI pricing and cost advice

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Answers from the Community

Mazin Al-Shuaili

Head Of Retail Operations at a financial services firm with 201-500 employees

Jun 9, 2020

What is the biggest difference between Corelight and Vectra AI?

2 out of 5 answers

JJennifer Geisler

Chief Marketing Officer at Vectra

Feb 13, 2020

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 data lake. You then rely on an open-source community for things like detections. Vectra not only does that – but also enriches the underlying data. It is also delivered as an investigative workbench that includes out-of-box detections that highlight and prioritize attacker behaviors and campaigns. Perhaps just as importantly, Corelight has few integrations whereas Vectra natively integrates with parts of infrastructure like EDR, orchestration and network security products.

Read full answer

OseremeOsobase

Director at Baverianvine

Feb 13, 2020

I would recommend you look at Darktrace instead. Extrahop and the new kid on the block, Awake security are also recommended.

Read full answer

See all 5 answers

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Government

12%

Computer Software Company

11%

Manufacturing Company

Financial Services Firm

11%

Computer Software Company

11%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	10
Large Enterprise	27

Questions from the Community

What is the biggest difference between Corelight and Vectra AI?

What do you like most about Corelight?

It's easy to create additional dashboards specific to supporting specific tasks.

What is your experience regarding pricing and costs for Corelight?

The solution is too expensive compared to others. If you have the technical knowledge, it's good. Corelight is a very big gap between you and others if you’re new.

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.

What needs improvement with Vectra AI?

There are several features found in ExtraHop that are not present in Vectra AI. These include the ability to view graphs of endpoints contacting other endpoints and the bandwidth utilization in the...

ExtraHop Reveal(x) vs Corelight

Comparisons

Darktrace vs Corelight

Compared 26% of the time

Compared 21% of the time

Cisco Secure Network Analytics vs Corelight

Compared 6% of the time

ExtraHop Reveal(x) 360 vs Corelight

Compared 5% of the time

NetWitness NDR vs Corelight

Compared 5% of the time

More Corelight Competitors

Darktrace vs Vectra AI

Compared 29% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 11% of the time

Cisco Secure Network Analytics vs Vectra AI

Compared 5% of the time

Arista NDR vs Vectra AI

Compared 5% of the time

Fortinet FortiNDR vs Vectra AI

Compared 4% of the time

More Vectra AI Competitors

Product Reports

Network Detection and Response (NDR)

October 2025

Download Corelight product report

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September 2025

Also Known As

No data available

Vectra Networks, Vectra AI NDR

Overview

Corelight is the most powerful network visibility solution for information security professionals. We provide real-time data that organizations use to understand, detect, and prevent cyber attacks. Our solution is built on Zeek, the powerful and widely-used open source monitoring framework.

Corelight

Vectra AI enhances security operations by pinpointing attack locations, correlating alerts, and providing in-depth visibility across attack lifecycles, ultimately prioritizing threats and improving incident responses.

Vectra AI integrates AI and machine learning to detect anomalies early and supports proactive threat response. Its features like risk scoring, alert correlation, and streamlined SOC efficiency are supplemented by integration with tools like Office 365. Users highlight integration, reporting, and customization challenges, alongside limitations in syslog data and false positive management. They seek enhancements in visualization, UI, TCP replay, endpoint visibility, and tool orchestration, with requests for improved documentation, licensing, and cloud processing innovation.

What are the key features of Vectra AI?

Attack Location Identification: Pinpoints specific locations of security breaches.
Alert Correlation: Combines multiple alerts into a single incident for efficiency.
Visibility Across Attack Lifecycle: Offers detailed insight through different attack stages.
Risk Scoring: Aggregates risk scores to prioritize imminent threats.
AI and Machine Learning: Detects anomalies early to aid in proactive threat response.
Integration with Office 365: Seamlessly consolidates data for enriched investigations.

What benefits should users look for?

Enhanced SOC Efficiency: Reduces alert fatigue and improves operational efficiency.
Threat Prioritization: Focuses on the most critical threats with risk scoring.
Proactive Threat Response: Early anomaly detection aids in swift response.
Operational Overhead Reduction: Seamless integration minimizes extra workload.
Compliance and Policy Support: Assists in adhering to policies and regulations.

In industries like finance, healthcare, and critical infrastructure, Vectra AI is crucial for threat detection and network monitoring. Entities use it for identifying anomalous behaviors and enhancing cybersecurity by responding to network activities and analyzing traffic for potential breaches. It operates on-premises and in hybrid cloud settings, enabling threat detection without endpoint agents and supporting compliance and policy enforcement.

Sample Customers

Education First

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