IBM Security Network IPS vs Vectra AI comparison

IBM and Vectra AI are both solutions in the Intrusion Detection and Prevention Software (IDPS) category. IBM is ranked #23, while Vectra AI is ranked #4 with an average rating of 8.0. IBM holds a 0.7% mindshare in ID, compared to Vectra AI’s 11.2% mindshare. Additionally, 80% of IBM users are willing to recommend the solution, compared to 97% of Vectra AI users who would recommend it.

IBM Security Network IPS

Read 4 IBM Security Network IPS reviews

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253 Comparison Views

80% willing to recommend

Vectra AI

Read 45 Vectra AI reviews

9,363 Views
4,026 Comparison Views

97% willing to recommend

IBM Security Network IPS

Vectra AI

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Executive SummaryUpdated on Dec 19, 2024

IBM Security Network IPS and Vectra AI compete in the network security space. IBM Security Network IPS has the upper hand in cost-effectiveness and customer service, while Vectra AI excels in advanced AI-driven threat detection.

Features: IBM Security Network IPS offers comprehensive intrusion prevention, threat intelligence integration, and real-time attack prevention. It supports centralized management via IBM SiteProtector, ensuring smooth integration with transaction systems. Vectra AI utilizes AI-driven technology for proactive threat detection and response, employing machine learning to identify threats early. Its feature set includes Cognito Recall and Cognito Detect, providing network visibility and aggregated risk scores for prioritizing threats efficiently.

Room for Improvement: IBM Security Network IPS could enhance its AI capabilities and improve analytical sophistication to match its competitors. Further development in threat detection precision and user interface could benefit IBM. Vectra AI could streamline its initial setup process and reduce dependency on user intervention for complex configurations. Efforts to minimize false positives and simplify fault rectification processes would enhance its overall performance.

Ease of Deployment and Customer Service: IBM Security Network IPS is appreciated for its straightforward deployment and extensive customer service, aiding in easy implementation. Vectra AI, while involving a more complex setup due to its advanced features, provides substantial support to overcome these complexities. IBM’s simplistic installation is a strong point, whereas Vectra's thorough post-deployment service optimizes its AI functionality.

Pricing and ROI: IBM Security Network IPS is known for a favorable pricing model and promising ROI, catering to various budgetary needs. Vectra AI, despite higher initial costs, delivers a significant long-term security ROI with its advanced threat detection, deemed worthwhile for organizations seeking innovation. Balancing upfront costs with cutting-edge features, Vectra provides substantial value over time.

To learn more, read our detailed IBM Security Network IPS vs. Vectra AI Report (Updated: July 2025).

Buyer's Guide

IBM Security Network IPS vs. Vectra AI

July 2025

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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

IBM Security Network IPS

Ranking in Intrusion Detection and Prevention Software (IDPS)

23rd

Average Rating

7.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Vectra AI

Ranking in Intrusion Detection and Prevention Software (IDPS)

4th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Network Detection and Response (NDR) (2nd), Extended Detection and Response (XDR) (14th), Identity Threat Detection and Response (ITDR) (10th), AI-Powered Cybersecurity Platforms (6th)

Mindshare comparison

As of July 2025, in the Intrusion Detection and Prevention Software (IDPS) category, the mindshare of IBM Security Network IPS is 0.7%, down from 0.7% compared to the previous year. The mindshare of Vectra AI is 11.2%, up from 10.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Intrusion Detection and Prevention Software (IDPS)

Featured Reviews

Jacob_Koithra

Project & Program manager at Shell Grp

User-friendly and has a good blocking feature but is quite expensive

Defining the new security rules and policies sometimes becomes a challenge. Integration with other platforms becomes a challenge as well. I'd like to see more integration with other tools and technologies. XGS 7100 has an end of support for the 30th of December 2022. Many are losing support. All the products of the XGS, including XGS 3100, 4100, 5100, and 7100, support is ending in December 2022. We need to know what is the plan post that? Do we need to spend money on them? Will that be extended? There has been no communication on the website either. It's an expensive device.

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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

"The initial setup is simple."

"The most valuable feature is its simplicity."

"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."

"The initial setup was pretty straightforward."

"We discovered a lot of things in our network and are correcting several misconfigurations. We are learning how some apps work together and how some things shouldn't happen. It's also easier for us to identify the source of a brute force, whereas before, we didn't even know we had a brute force."

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

"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."

"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 is very compatible with various cloud providers, such as Amazon and Azure AD. This is helpful as customers often migrate their network infrastructure to the cloud."

"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."

More Vectra AI pros

Cons

"I'd like to see more integration with other tools and technologies."

"In the future, I would like to see a hybrid option so that we can work both on-premises and in the cloud."

"One of the things I am not so happy about when it comes to Vectra is the scoring board."

"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."

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

"The reporting from Cognito Detect is very limited and doesn't give you too many options. If I want to prepare a customized report on a particular host, even though I see the data, I have to manually prepare the report. The reporting features that are built into the tool are not very helpful."

"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."

"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 have a lot of system solutions and integrations with system solutions. Vectra is a type of black box. It implements AI-informed detection mechanisms, but we cannot create system detections. I understand that the product is designed this way, but it would be great if we could create our own detections as well."

"A blind spot that I have is around the ease with which you can automate threat intervention."

More Vectra AI cons

Pricing and Cost Advice

"The cost of operations is very low."

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

"The solution is low-cost and affordable."

"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."

"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."

"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."

"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."

"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."

"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."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

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Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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 ...

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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.

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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

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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 5% of the time

Arista NDR vs Vectra AI

Compared 5% of the time

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Product Reports

Buyer's Guide

Intrusion Detection and Prevention Software (IDPS)

June 2025

Download IBM Security Network IPS product report

Buyer's Guide

Vectra AI

June 2025

Download Vectra AI product report

Also Known As

Security Network Intrusion Prevention System, IBM Security Network Protection, XGS, GX

Vectra Networks, Vectra AI NDR

Overview

IBM Security Network Intrusion Prevention System appliances are designed to stop constantly evolving threats before they impact your business. This means providing both high levels of protection and performance, while lowering the overall cost and complexity associated with deploying and managing a large number of point solutions.

IBM

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.

Vectra AI

Sample Customers

Equifax, Christian Hospital Centre

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

Buyer's Guide

IBM Security Network IPS vs. Vectra AI

July 2025

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