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

Comparison Buyer's Guide

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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.

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

"The most valuable feature is its simplicity."

"The initial setup is simple."

"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."

"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."

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

"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."

"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 important for us that the user interface is easy to understand and that is the biggest benefit we see from Vectra AI."

"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."

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."

"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."

"What is most important for us is to have one place where we can manage a few brains because we are based on a zero-trust network. As a result, each customer needs to have a separate brain. For the SOC team, we need to have one place where the SOC analyst can go to visit the website and from that site manage all of the customers. Right now, Vectra AI doesn't have this capability, and I would really like to have this feature."

"An area for improvement in Vectra AI is reporting because it currently needs some details. For example, when you download a report from Vectra AI, you won't see complete information about the alerts or triggers. Another area for improvement in the tool is that sometimes, an alert has high severity, yet it's marked as low severity. Vectra AI should have a mechanism to change the severity level from low to high or critical."

"There could be an option where Vectra manages the solution remotely, and when there is an attack, there could be a notification center to give us information about the attack."

"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 solution's marketing is not good."

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

"We are using SMB 3.0, which is an encrypted protocol. When we get some alerts or something, we cannot go deep into the protocol to see what's wrong because it's encrypted. We need to decrypt the protocol in another way, which is quite difficult. We might go back to SMB 2.0 just for this reason, but that's not a good solution."

More Vectra AI cons

Pricing and Cost Advice

"The cost of operations is very low."

"At the time of purchase, we found the pricing acceptable. We had an urgency to get something in place because we had a minor breach that occurred at the tail end of 2016 to the beginning of 2017. This indicated we had a lack of ability to detect things on the network. Hence, why we moved quickly to get into the tool in place. We found things like Bitcoin mining and botnets which we closed quickly. In that regard, it was worth the money."

"The solution is low-cost and affordable."

"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 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."

"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."

"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."

"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."

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

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

10%

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

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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 12% of the time

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Darktrace vs Vectra AI

Compared 23% 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)

February 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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