Pico Corvil Analytics vs Vectra AI comparison

The compared PICO and Vectra AI solutions aren't in the same category. PICO is ranked #70 in NMS , and holds a 0.6% mindshare in the category. Vectra AI is ranked #2 in NDaR , with an average rating of 8.1, and holds a 12.6% mindshare. Additionally, 100% of PICO users are willing to recommend the solution, compared to 97% of Vectra AI users who would recommend it.

Pico Corvil Analytics

Read 9 Pico Corvil Analytics reviews

1,635 Views
1,472 Comparison Views

100% willing to recommend

Vectra AI

Read 47 Vectra AI reviews

8,743 Views
5,421 Comparison Views

97% willing to recommend

Pico Corvil Analytics

Vectra AI

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Executive Summary

We performed a comparison between Pico Corvil Analytics and Vectra AI based on real PeerSpot user reviews.

Find out what your peers are saying about Zabbix, Auvik, Datadog and others in Network Monitoring Software.

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Network Monitoring Software

February 2026

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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

Pico Corvil Analytics

Average Rating

9.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Network Monitoring Software (70th)

Vectra AI

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Intrusion Detection and Prevention Software (IDPS) (4th), Network Detection and Response (NDR) (2nd), Extended Detection and Response (XDR) (15th), Identity Threat Detection and Response (ITDR) (11th), AI-Powered Cybersecurity Platforms (6th)

Mindshare comparison

Pico Corvil Analytics and Vectra AI aren’t in the same category and serve different purposes. Pico Corvil Analytics is designed for Network Monitoring Software and holds a mindshare of 0.6%, up 0.5% compared to last year.
Vectra AI, on the other hand, focuses on Network Detection and Response (NDR), holds 12.6% mindshare, down 16.8% since last year.

Network Monitoring Software Market Share Distribution
Product	Market Share (%)
Pico Corvil Analytics	0.6%
Zabbix	5.7%
SolarWinds NPM	3.4%
Other	90.3%

Network Monitoring Software

Network Detection and Response (NDR) Market Share Distribution
Product	Market Share (%)
Vectra AI	12.6%
Darktrace	16.8%
ExtraHop Reveal(x)	6.8%
Other	63.800000000000004%

Network Detection and Response (NDR)

Featured Reviews

Ted Hruzd

Founder at AI Fit LLC

Helpful support agents, beneficial issue detection, and high availability

The creation of charts and real-time windows was somewhat cumbersome. The vendor's website had an application called App Agent that required improvement. This API was designed to track message rates between microservers ingested into a microservice memory map. It allowed users to monitor the number of transactions that occurred at specific points within the application, and it was quite impressive. However, it had some limitations, and it mainly served as a tool for basic tracking. The protocols it employed could reveal the type of server-to-server communication and the specific order types, but it was not able to provide a more in-depth analysis of the application. The vendor has the potential to integrate application metrics more extensively into their product suite. The product suite could benefit from more out-of-the-box predictive analytics capabilities, such as projecting market or symbol movements. However, it is unclear whether the vendor currently provides this functionality. Users may need to adjust their software to perform such analysis independently.

Read full review

RahulReddy

Consultant at a retailer with 5,001-10,000 employees

Threat detection has improved and malicious emails are now identified quickly

Vectra AI offers artificial intelligence capabilities with visibility that can be integrated into our day-to-day operations and other tools, including malware detection tools and cyber threat tools. Vectra AI has positively impacted my organization. Last year while using it, we received many malicious email threats and virus incidents, including a trojan virus that had reportedly been deployed by someone. Our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats. Using Vectra AI, I notice that server downtime has decreased significantly. We now experience only two to three hours of downtime, whereas without Vectra AI and other tools, our downtime would exceed 48 to 72 hours.

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 allows us to trace the flow. The logic is built sufficiently for us to be able to break down clients' orders, underlying child orders, and execution. Thus, it's a good way for us to trace client flow through a myriad of different internal systems."

"It has all the decoders so it's capturing every network packet and it's decoding in real-time and it's giving us latency information in real-time... It's the real-time decoding and getting the latency information statistics that we find the most useful."

"We're able to quickly drill down and find answers to events that are happening in real-time, using Corvil's analytics tools. That's the feature which is most in the spotlight..."

"We use the data to analyze how much time we spend within the applications. Then, based on that, we are doing multiple analyses and types of investigations to work on reducing the amount of time spent on the latency, which helps our applications."

"The analytics features of Corvil are really good... As long as you know what the field is in the message, you can build your metrics based on that field... It means you can do the analytics that you actually care for. You can customize it..."

"The performance metrics are pretty good. We've got everything from the network layer to the actual application layer. We can see what's going on with things like sending time and batching."

"Time-series graphs are very good for performance analysis. We can do comparisons... We can say this is the latency in the last 24 hours, and this was the same 24-hour period a week ago and overlay the two time-series graphs on top of each other, so we can see the difference. That's a really powerful tool for us."

"We like the dashboards because they essentially organize all the sessions into one viewpoint."

More Pico Corvil Analytics pros

"Attack Signal Intelligence helped reduce irrelevant alerts by 80% to 90%, with metrics showing a 100-plus reduction in investigation workloads and roughly saving about 55,000 hours of investigation time."

"The core product provides excellent visibility, but my favorite feature is Vectra Recall."

"It's easy to manage, and I love the UX. It's very well designed. When we are looking for something, it's quite easy to find it."

"It does a reliable job of parsing out the logs of all the network traffic so that we can ingest them into our SIEM and utilize them for threat hunting and case investigations. It is pretty robust and reliable. The administration time that we spend maintaining it or troubleshooting it is very low. So, the labor hour overhead is probably our largest benefit from it. We spend 99% of our time in Vectra investigating cases, responding to incidents, or hunting, and only around 1% of our time is spent patching, troubleshooting, or doing anything else. That's our largest benefit from Vectra."

"Scalability wise, we have many sensors, and Vectra AI seems to handle them all very well."

"The packet-capturing feature is very useful."

"Vectra AI has positively impacted my organization; last year while using it, we received many malicious email threats and virus incidents, including a trojan virus that had reportedly been deployed by someone, and our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats."

"Vectra AI is the best. It is a major product in our cybersecurity."

More Vectra AI pros

Cons

"It's quite difficult to see, sometimes, how hard your Corvil is working. When we had a very busy feed that chucked out a lot of data it wasn't working very well on Corvil. We had to raise a case for it. It turned out to be that, in fact, we were overloading Corvil."

"The analytics feature is very nice, but it's mostly software. We are hoping that it could be embedded in ASICs, so it could be faster."

"Before I got the Corvil training... one thing that was not very efficient was that every time you had to create a new stream or a new session from within Corvil... you had to tell it what protocol the message is going to come through and how to correlate messages, etc... After I went for the training, they had already added these nice features in the 9.4 version where it could do auto-discovery... Based on the traffic that it has already seen, it could create sessions on the fly."

"I have seen errors where the CNE and the CMC haven't synced because of something missing in the CMC, which was there in the CNE. We would get some type of error, but it doesn't actually say what exactly was missing in the CNE."

"There is definitely room for improvement in the reporting. We've tried to use the reporting in Corvil but, to me, it feels like a bolt-on, like not a lot of thought has gone into it. The whole interface where you build reports and schedule them is very clunky."

"Alerting isn't great... you can only put in one email address in. And that's for all kinds of alerting on the box."

"The creation of charts and real-time windows was somewhat cumbersome. The vendor's website had an application called App Agent that required improvement. This API was designed to track message rates between microservers ingested into a microservice memory map. It allowed users to monitor the number of transactions that occurred at specific points within the application, and it was quite impressive. However, it had some limitations, and it mainly served as a tool for basic tracking. The protocols it employed could reveal the type of server-to-server communication and the specific order types, but it was not able to provide a more in-depth analysis of the application. The vendor has the potential to integrate application metrics more extensively into their product suite."

"Overall, the Corvil device needs a little bit of training for people to handle it. If that could be reduced and made more user-friendly, more intuitive, it would be better."

More Pico Corvil Analytics cons

"Some of their integrations with other sources of data, like external threat feeds, took a bit more work than I had hoped to get integrated."

"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."

"Vectra AI could be improved by focusing on all threat types, not only malicious threats or virus threats."

"I would like to see data processed onshore. Right now, the cloud components, like Office 365, must be processed on servers outside of Australia. I would like to see a future adoption of onshore processing."

"One of the things that we are missing a bit is the capability to add our own rules to it. At the moment, the tech engine does its thing, but we have some cool ideas to make additional rules. There should be an option in the platform to add custom rules, or there should be some kind of user group where we can suggest them for the roadmap and see if they get evaluated and get transparent communication on whether they will be implemented in the product or not."

"The solution needs to become more proactive. When Vectra AI is the primary solution in an environment - like it is in our case - you must work on response time. We have a small team so response time at endpoint level is vital."

"I would like more integrations with IOCs and threats currently on the Internet. I would also like to know which threats are based on zero-day attacks, current botnets, etc. Therefore, I would like more information on external threats."

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

More Vectra AI cons

Pricing and Cost Advice

"We bought a box from Corvil and it was $200,000 for one big CNE. Then there are obviously the recurring maintenance fees. The licensing is perpetual but the maintenance fees are not."

"The pricing is very expensive. Corvil could work on the pricing."

"Pico Corvil Analytics is expensive. There are several competitors in the market. Selling this solution to a trading firm might be challenging as there are several other solutions available that can perform basic similar operations, such as using Wireshark and Python scripts to obtain the required values. However, that does not nearly approach the comprehensive end-2-end automated depth of metrics and their correlations that Pico Corvil Analytics provides."

"It is pricey versus its competitors."

"I like the way they've decoupled the hardware now... Everything's based on the licensing side now. The way they do the packs is fair. It's very flexible in that we're not charged per decoder, we're charged for a certain pack. Whether we use one decoder or 20 decoders, as long as they're in the same pack, there's no extra charge. Expensive but fair is how I'd summarize it."

"Corvil has reduced the time it takes us to isolate root causes."

"As I am working more with Corvil, it looks like it is improving diagnostic times."

"Vectra's licensing model could scale to our research network, which has multiple, 100-gigabit links."

"The upfront pricing model that we have would have been more beneficial if it had been a recurring license fee, but that wasn't a massive issue for us. It's fairly priced."

"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."

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

"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."

"The pricing is high."

"The solution is low-cost and affordable."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

42%

Computer Software Company

10%

Non Profit

Manufacturing Company

Financial Services Firm

11%

Computer Software Company

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	10
Large Enterprise	29

Questions from the Community

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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 ...

See all answers

What do you like most about Vectra AI?

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

See all answers

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

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

See all answers

Comparisons

NETSCOUT nGeniusONE vs Pico Corvil Analytics

Compared 14% of the time

ExtraHop Reveal(x) vs Pico Corvil Analytics

Compared 12% of the time

NIKSUN NetVCR vs Pico Corvil Analytics

Compared 11% of the time

Statseeker vs Pico Corvil Analytics

Compared 8% of the time

Kaseya Traverse vs Pico Corvil Analytics

Compared 8% of the time

More Pico Corvil Analytics Competitors

Darktrace vs Vectra AI

Compared 22% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 7% of the time

Corelight vs Vectra AI

Compared 5% of the time

Cisco Secure Network Analytics vs Vectra AI

Compared 4% of the time

Fortinet FortiNDR vs Vectra AI

Compared 4% of the time

More Vectra AI Competitors

Product Reports

Buyer's Guide

Pico Corvil Analytics

January 2026

Download Pico Corvil Analytics product report

Buyer's Guide

Vectra AI

January 2026

Download Vectra AI product report

Also Known As

Corvil

Vectra Networks, Vectra AI NDR

Overview

Corvil transforms Network Data with speed and precision into the powerful real-time truth. Corvil captures, decodes, reassembles, and enriches vast amounts of data in motion, adding analytics and making the resulting enriched data and IT Operations Analytics available to humans, machines and other systems.

PICO

Vectra AI offers advanced hybrid network and identity security, detecting threats traditional tools miss. It uses AI to identify lateral attacks and credential misuse, providing a proactive defense for enterprises.

Vectra AI enhances security by using AI-driven detection across network, cloud, and identity layers, surpassing EDR and SIEMs by offering real-time threat detection. It ensures continuous observability and automates SOC workflows to minimize manual efforts, creating an efficient security environment. Its AI-powered approach significantly reduces noise, focusing on true threats, and provides insights into complex threat landscapes, with seamless integration into environments like EDR and Office 365.

What are Vectra AI's key features?

AI-driven detection: Identifies lateral movement and credential misuse across networks.
Continuous observability: Monitors data centers, cloud, SaaS, and OT environments.
SOC automation: Reduces manual processes, lowering analyst fatigue.
Attack Signal Intelligence: Filters noise to deliver relevant alerts quickly.
Network visibility: Provides insight into encrypted traffic and unmanaged assets.

What benefits should users expect?

Improved threat detection: Faster identification of potential threats.
Efficiency in response: Automated processes free resources for high-impact tasks.
Reduced alert fatigue: Intelligent alerts reduce false positives.
Operational integration: Works seamlessly with existing platforms and tools.

Vectra AI is utilized across industries for comprehensive network and anomaly detection. Organizations deploy it for threat hunting and incident response, monitoring both on-premises and cloud activities. By placing sensors across sites, they optimize security practices and streamline their detection processes.

Vectra AI

Sample Customers

NASDAQ, Commerzbank, Pico Quantitative Trading, CME Group, Interactive Data, Tokyo Stock Exchange Inc.

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

Buyer's Guide

Network Monitoring Software

February 2026

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