IBM Security Network IPS vs Vectra AI comparison

Why PeerSpot?

IBM and Vectra AI are both solutions in the Intrusion Detection and Prevention Software (IDPS) category. IBM is ranked #25, while Vectra AI is ranked #6 with an average rating of 8.0. IBM holds a 2.0% mindshare in ID, compared to Vectra AI’s 5.7% 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

1,636 Views
1,391 Comparison Views

80% willing to recommend

Vectra AI

Read 48 Vectra AI reviews

13,426 Views
5,102 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: November 2026).

Buyer's Guide

IBM Security Network IPS vs. Vectra AI

November 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)

25th

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)

6th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Network Detection and Response (NDR) (3rd), Extended Detection and Response (XDR) (19th), Identity Threat Detection and Response (ITDR) (10th), AI-Powered Cybersecurity Platforms (7th)

Mindshare comparison

As of November 2026, in the Intrusion Detection and Prevention Software (IDPS) category, the mindshare of IBM Security Network IPS is 2.0%, up from 0.8% compared to the previous year. The mindshare of Vectra AI is 5.7%, down from 8.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Intrusion Detection and Prevention Software (IDPS) Mindshare Distribution
Product	Mindshare (%)
Vectra AI	5.7%
IBM Security Network IPS	2.0%
Other	92.3%

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.

Read full review

reviewer2783214

Strategic RAN Lead | Network Transformation & Optimization | Philippines & South Africa at a tech vendor with 10,001+ employees

AI‑driven threat detection has transformed alert fatigue and now enables faster response and leaner soc operations

The best features of Vectra AI are related to AI. For the NDR part, Attack Signal Intelligence features were mainly responsible for behavior AI, high-fidelity signaling, and prioritization. These features were great for anomaly detection and behavioral-based detection, able to catch zero-day attacks and living-off-the-land attacks. For high-fidelity signaling, it automatically triaged, filtered, and correlated signals, which dramatically reduced alert fatigue noise on the customer side by approximately 80% and eliminated alert fatigue on the SOC teams. Regarding the identity detection and response IDR solution, it monitored Active Directory and Entra ID for any attacks, allowing the SOC to detect any compromised credentials. Alert noise was dramatically reduced by nearly 80%, allowing SOC analysts to focus more on true threats, which made them more productive and resulted in higher operational efficiency. 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. Investigation time has decreased significantly, empowering analysts with detection and advanced unknown threats that Vectra AI provided. Its knowledge base and database are very up to date, allowing for spotting zero-day attacks with full visibility and helping to stop attacks in minutes. Vectra AI has reduced the MTTD and MTTR, increasing operational and process efficiency, and has helped reduce the number of SOC analysts that needed to be hired. Thanks to the AI features, the number of employees and SOC analysts hired has been reduced.

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 initial setup is simple."

"The blocking feature is great; it acts as an in-line blocker, and any malicious traffic that you see, or anything really, it can block the traffic."

"The most valuable feature is its simplicity."

"IPS has helped us in understanding more about the latest threats out there and made us realize that we need to be proactive when it comes to security rather than reactive."

"Signature based analysis and preventing different types of network attacks."

"This is definitely a product that I recommend, especially for organizations that want a quick integration of data from the transaction systems, with a very low cost of operations."

"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."

"We can sleep better."

"Most of their use cases, including deployment, are managed by the tool itself, requiring less manual input from our team."

"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."

"Cognito Streams gives you a detailed view of what happens in the network in the form of rich metadata. It is just a super easy way to capture network traffic for important protocols, giving us an advantage. This is very helpful on a day-to-day basis."

"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."

"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."

"It keeps up with the network traffic, which is a good thing. It provides more context to plain alerts compared to using an older system. So, it helps an analyst reduce the information overload."

More Vectra AI pros

Cons

"The configuration of this product is complex. It could be made more user friendly."

"In terms of scalability, I would say that it is a little on the poor side."

"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."

"It's an expensive device."

"The management server can be made more user friendly and also the database configuration could be made simpler."

"The UI/UX and detection could be improved. More detections of specific security events could be useful. We've had a few incidents that were not detected by Vectra. The teams are working on it right now, but more detection is always better."

"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."

"Some of their integrations with other sources of data, like external threat feeds, took a bit more work than I had hoped to get integrated."

"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."

"Some of the customization could be improved. We think the integration with source solutions could be better."

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

"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."

"In education as a sector, we are looking at AI a lot in terms of how it can be used as part of the teaching and learning side of things. It would be great to have Vectra AI look at a better way to enhance the security posture related to the AI tools in our portfolio."

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."

"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 high."

"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 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."

"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."

"The licensing is on an annual basis."

"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."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Comms Service Provider

14%

Performing Arts

11%

Manufacturing Company

11%

Outsourcing Company

Financial Services Firm

10%

Manufacturing Company

Comms Service Provider

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	10
Large Enterprise	29

Questions from the Community

Ask a question

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What is your experience regarding pricing and costs for Vectra AI?

I find the pricing of Vectra AI to be one of the best we have seen as feedback from customers and partners indicates it is very competitive for an EDR solution.

See all answers

What needs improvement with Vectra AI?

I think one area that could be improved about Vectra AI is their marketing. One of the aspects that Darktrace excels at is their marketing, and I do not feel Vectra AI is on that level yet, leading...

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What is your primary use case for Vectra AI?

I primarily use Vectra AI for customers, and I only provide Vectra AI.

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Compared 4% of the time

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Compared 11% of the time

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Compared 4% of the time

Cisco Secure Network Analytics vs Vectra AI

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ExtraHop Reveal(x) 360 vs Vectra AI

Compared 4% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 3% of the time

More Vectra AI Competitors

Product Reports

Buyer's Guide

Intrusion Detection and Prevention Software (IDPS)

October 2026

Download IBM Security Network IPS product report

Buyer's Guide

Vectra AI

October 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 IPS offers comprehensive protection and threat intelligence to secure network infrastructures, designed for businesses seeking enhanced cyber defense mechanisms.

IBM Security Network IPS stands out with robust features that deliver high-performance network protection. It actively analyzes traffic to prevent intrusions, offering a proactive approach to cyber threats. With seamless integration capabilities, it fits into existing security frameworks, ensuring enhanced visibility and control for IT administrators.

What are the key features of IBM Security Network IPS?

Real-time Threat Protection: Continuously monitors and inspects traffic to block and respond to threats instantly.
Advanced Threat Intelligence: Utilizes global threat data to provide insights and protective measures against emerging threats.
Scalable Architecture: Designed to accommodate varying network sizes, ensuring consistent protection as networks grow.
Comprehensive Reporting: Offers detailed analytics and reports for informed decision-making and strategy adjustments.

What benefits can be expected from IBM Security Network IPS?

Enhanced Security Posture: Robust prevention mechanisms that reduce the risk of cyber attacks significantly.
Cost Efficiency: By reducing incidents, it minimizes potential costs associated with data breaches.
Operational Efficiency: Streamlined workflows and automation that free up resources for strategic initiatives.

Industries such as finance and healthcare implement IBM Security Network IPS to safeguard sensitive information and ensure compliance with industry regulations. Its adaptability and thorough threat inspection make it an ideal choice for critical infrastructures requiring reliable protection.

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

November 2026

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