Pico Corvil Analytics vs Vectra AI comparison

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Pico Corvil Analytics

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Executive Summary

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

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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 (73rd)

Vectra AI

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Intrusion Detection and Prevention Software (IDPS) (5th), Network Detection and Response (NDR) (2nd), Extended Detection and Response (XDR) (16th), 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 13.3% mindshare, down 16.9% since last year.

Network Monitoring Software Market Share Distribution
Product	Market Share (%)
Pico Corvil Analytics	0.6%
Zabbix	6.9%
SolarWinds NPM	3.4%
Other	89.1%

Network Monitoring Software

Network Detection and Response (NDR) Market Share Distribution
Product	Market Share (%)
Vectra AI	13.3%
Darktrace	18.0%
ExtraHop Reveal(x)	7.0%
Other	61.7%

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."

"We can use CLI with the UI for configuring the new monitoring system, which is good."

"As part of my role in monitoring multiple client connections, I would use Pico Corvil Analytics to set up alerts for performance issues, such as TCP resends and dropped packets. These alerts would trigger when the volume was low and performance was poor, allowing me to work with our trading partners to find a resolution. I would present them with the statistics I had and together, we would identify the source of the issue. This collaboration resulted in the client often reconfiguring their systems. For example, we may find that a network connection needed to be made. Overall, this proactive approach helped to maintain strong connections with our clients and minimize disruptions to trading revenue."

"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."

"What is most valuable is the ability to troubleshoot when a client complains of spikes in latencies. It gives us the ability to go granular, all the way down to looking at the network packets and analyze them."

"With the Corvil Stored Data Analyzer module, we can use it for test data or a set of production data to set up the configuration for latency setup, so we can use the fields to correlate messages."

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

"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..."

More Pico Corvil Analytics pros

"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 packet-capturing feature is very useful."

"One of the most valuable features of the platform is its ability to provide you with aggregated risk scores based on impact and certainty of threats being detected. This is both applied to individual and host detections. This is important because it enables us to use this platform to prioritize the most likely imminent threats. So, it reduces alert fatigue follow ups for security operation center analysts. It also provides us with an ability to prioritize limited resources."

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

"The automatic filtering that they provide is valuable. The logic inside that makes some detections instead of us is very useful. We are confident that if we are just looking into it and there is nothing, nothing could happen."

"The solution provide visibility into behaviors across the full lifecycle of an attack in our network, beyond just the Internet gateway. It makes our security operations much more effective because we are now looking not just at traffic on the border, but we're looking at east-west internal traffic. Now, not only will we see if an exploit kit is being downloaded, but we would be able to see then if that exploit kit was then laterally distributed into our environment."

"The initial setup was pretty straightforward."

"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."

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."

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

"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."

"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."

"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."

"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."

"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."

More Pico Corvil Analytics cons

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

"Vectra is still limited to packet management. It's only monitoring packet exchanges. While it can see a lot of things, it can't see everything, depending on where it's deployed. It has its limits and that's why I still have my SIEM."

"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."

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

"I would like to see a bit more strategic metrics instead of technical data. Information that I could show to my executive management team or board would be valuable."

"Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources."

"We had another product with Vectra AI and used the MDR solution as an add-on. Initially, it wasn't fully appropriately configured, so we didn't get the expected results. Even once configured correctly, we weren't fully satisfied with its response. The issue was both with their service response and the product's capabilities."

More Vectra AI cons

Pricing and Cost Advice

"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."

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

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

"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."

"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."

"It is pricey versus its competitors."

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

"My company pays for the Vectra AI licensing fee yearly. I know the figure because my company recently renewed the license, and it's okay, at least for the financial sector."

"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."

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

"The pricing is very good. It's less expensive than many of the tools out there."

"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."

"Its cost is too much. It's an investment that we can afford. It's a lot, but it's worth it."

"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."

"The solution's pricing was 50 percent lower than the other vendors shortlisted."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

46%

Computer Software Company

10%

Non Profit

Comms Service Provider

Financial Services Firm

10%

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 13% of the time

NIKSUN NetVCR vs Pico Corvil Analytics

Compared 11% of the time

Alluvio AppResponse vs Pico Corvil Analytics

Compared 8% of the time

Datadog vs Pico Corvil Analytics

Compared 8% of the time

More Pico Corvil Analytics Competitors

Darktrace vs Vectra AI

Compared 23% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 8% 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

Pico Corvil Analytics

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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.

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

Network Monitoring Software