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 (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) (9th), AI-Powered Cybersecurity Platforms (7th)

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 0.4% compared to last year.
Vectra AI, on the other hand, focuses on Network Detection and Response (NDR), holds 12.0% mindshare, down 16.1% since last year.

Network Monitoring Software Mindshare Distribution
Product	Mindshare (%)
Pico Corvil Analytics	0.6%
Zabbix	4.1%
SolarWinds NPM	3.7%
Other	91.6%

Network Monitoring Software

Network Detection and Response (NDR) Mindshare Distribution
Product	Mindshare (%)
Vectra AI	12.0%
Darktrace	15.5%
ExtraHop Reveal(x)	6.3%
Other	66.2%

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

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

"In the sense that it helps us identify performance issues, it does give us a performance advantage over competitors."

"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."

"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."

"In terms of what it does, I'd give Corvil a ten out of ten; I've never seen a tool like it."

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

"My advice is "Go for it." It's an amazing product."

"Corvil is a great tool; it is the only one of the vendors that has 100% visibility into the market data stream."

More Pico Corvil Analytics pros

"Our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats."

"The dashboard gives me a scoring system that allows me to prioritize things that I should look at. I may not necessarily care so much about one event, whereas if I have a single botnet detection or a brute force attack, I really want to get on top of those."

"We can sleep better."

"The most valuable feature for Cognito Detect, the main solution, is that external IDS's create a lot of alerts. When I say a lot of alerts I really mean a lot of alerts. Vectra, on the other hand, contextualizes everything, reducing the number of alerts and pinpointing only the things of interest. This is a key feature for me. Because of this, a non-trained analyst can use it almost right away."

"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..."

"One of the most valuable features is all the correlation that it does using AI and machine learning. An example would be alerting on a host and then alerting on other things, like abnormal behavior, that it has noticed coming from the same host. It's valuable because we're a very lean team."

"One of the core features is that Vectra AI triages threats and correlates them with compromised host devices. From a visibility perspective, we can better track the threat across the network. Instead of us potentially finding one device that has been impacted without Vectra AI, it will give us the visibility of everywhere that threat went. Therefore, visibility has increased for us."

"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."

More Vectra AI pros

Cons

"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 - if you wanted to capture new traffic that's going through - you had to tell it what protocol the message is going to come through and how to correlate messages, etc."

"Overall, the Corvil device needs a little bit of training for people to handle it."

"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."

"While the product is scalable, it's not easy to scale. It needs investment hardware and network bandwidth consideration."

"While the product is scalable, it's not easy to scale. It needs investment hardware and network bandwidth consideration. It's not something you can just do overnight."

"With the architecture that Corvil is built on, it's cumbersome."

"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."

More Pico Corvil Analytics cons

"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."

"In comparison with a lot of systems I used in the past, the false positives are really a burden because they are taking a lot of time at this moment."

"The main improvement I can see would be to integrate with more external solutions."

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

"Other alternatives, like Darktrace, have a fancier UI."

"The solution has not reduced the security analyst workload in our organization because we still need to SIEM. Unfortunately, while Vectra, for us, is a brilliant tool for network investigations, giving wonderful visibility, it doesn't go the whole way to replace our SIEM that is needed for compliance. So, I still have the same amount of alerting and logging that I did before. It gives us more defined ability to see incidents, but it doesn't give us enough information to satisfy a PCI or 27001 audit."

"Vectra is still limited to packet management. It's only monitoring packet exchanges."

More Vectra AI cons

Pricing and Cost Advice

"It is pricey versus its competitors."

"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."

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

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

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

"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."

"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."

"Vectra AI is not a cheap solution."

"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."

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

"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."

"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."

"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."

"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

39%

Computer Software Company

Non Profit

Comms Service Provider

Financial Services Firm

10%

Manufacturing Company

Computer Software 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 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

What needs improvement with Vectra AI?

Vectra AI could be improved by focusing on all threat types, not only malicious threats or virus threats. All threats, including hacking attempts, should be comprehensively addressed. The user inte...

See all answers

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Compared 18% of the time

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Compared 5% of the time

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Compared 4% of the time

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Compared 3% of the time

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Compared 3% of the time

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Product Reports

Pico Corvil Analytics

Download Pico Corvil Analytics product report

Download Vectra AI product report

Also Known As

Corvil

Vectra Networks, Vectra AI NDR

Overview

Pico Corvil Analytics offers advanced capabilities in latency measurement, data analysis, and real-time packet decoding. Its intuitive dashboards and comprehensive analytics support latency management and customizable metrics, enhancing performance monitoring and infrastructure optimization.

Designed to assist in latency monitoring and benchmarking, Pico Corvil Analytics is essential for tracking server and exchange latency, client connectivity, electronic trading environments, and order flows. It provides features like real-time analytics, custom dashboards, and anomaly detection, aiding in transaction scrutiny and market activity predictions. Users note the depth of analytics features, although there is a desire for iHub functionality within the app, simpler configurations, and more intuitive performance analytics and reporting.

What are the core features of Pico Corvil Analytics?

Latency Measurement: Precision tracking for server and exchange latency.
Data Analysis: Granular insights for enhanced trading efficiency.
Real-Time Packet Decoding: Immediate packet analysis for troubleshooting.
Visualization: Advanced dashboards enhancing data communication.
Intelligent Alerts: Proactive performance monitoring and collaborations.

What benefits can users expect from Pico Corvil Analytics?

Enhanced Trading Efficiency: Drives strategic upgrades and operational improvements.
Nuanced Network Analysis: Empowers detailed troubleshooting and network management.
Performance Monitoring: Aids infrastructure optimization through informed decisions.

Pico Corvil Analytics is widely implemented in industries requiring high-performance trading infrastructures, such as financial services and electronic trading environments. It supports users in predicting market activities and ensuring reliable, efficient trade execution. Custom dashboards and real-time analysis provide a competitive edge in these high-stakes arenas.

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