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 8.1. IBM holds a 1.4% mindshare in ID, compared to Vectra AI’s 7.4% 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

482 Views
405 Comparison Views

80% willing to recommend

Vectra AI

Read 47 Vectra AI reviews

8,743 Views
3,497 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: February 2026).

Buyer's Guide

IBM Security Network IPS vs. Vectra AI

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

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

7.0

Number of Reviews

Ranking in other categories

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

As of February 2026, in the Intrusion Detection and Prevention Software (IDPS) category, the mindshare of IBM Security Network IPS is 1.4%, up from 0.4% compared to the previous year. The mindshare of Vectra AI is 7.4%, down from 8.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Intrusion Detection and Prevention Software (IDPS) Market Share Distribution
Product	Market Share (%)
Vectra AI	7.4%
IBM Security Network IPS	1.4%
Other	91.2%

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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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.

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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 most valuable feature is its simplicity."

"The initial setup is simple."

"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 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."

"It has helped us to organize our security. We get a better overview on what is happening on the network, which has helped us get quicker responses to users. If we see malicious activity, then we can quickly take action on it. Previously, we weren't getting an overview as fast as we are now, so we can now provide a quicker response."

"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."

"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'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."

"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."

"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."

More Vectra AI pros

Cons

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

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

"The rules for threats are not always precise and Vectra AI should improve this."

"There is room for improvement in the documentation. We would like to have more details on how it detects what we see."

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

"Pricing could be improved, as many customers have complained about the pricing model and pricing complexity."

"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."

"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."

"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."

More Vectra AI cons

Pricing and Cost Advice

"The cost of operations is very low."

"The pricing is high."

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

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

"It's relatively on the pricier side, but when compared to other solutions. It's not the most budget-friendly option, but it can be considered somewhat more cost-effective in comparison to other alternatives."

"The licensing is on an annual basis."

"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."

"The license is based on the concurrent IP addresses that it's investigating. We have 9,800 to 10,000 IP addresses."

"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

No data available

Financial Services Firm

11%

Computer Software Company

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	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 ...

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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.

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Comparisons

Trellix Intrusion Prevention System vs IBM Security Network IPS

Compared 20% of the time

ExtremeCloud IQ vs IBM Security Network IPS

Compared 18% of the time

Palo Alto Networks Advanced Threat Prevention vs IBM Security Network IPS

Compared 15% of the time

Darktrace vs IBM Security Network IPS

Compared 12% of the time

KerioControl vs IBM Security Network IPS

Compared 11% of the time

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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

Intrusion Detection and Prevention Software (IDPS)

January 2026

Download IBM Security Network IPS product report

Buyer's Guide

Vectra AI

January 2026

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 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

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

February 2026

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