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Sangfor Cyber Command vs Vectra AI comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive Summary

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

Sangfor Cyber Command
Ranking in Network Detection and Response (NDR)
14th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Vectra AI
Ranking in Network Detection and Response (NDR)
3rd
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
48
Ranking in other categories
Intrusion Detection and Prevention Software (IDPS) (6th), 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 Network Detection and Response (NDR) category, the mindshare of Sangfor Cyber Command is 2.2%, up from 1.3% compared to the previous year. The mindshare of Vectra AI is 8.7%, down from 14.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Detection and Response (NDR) Mindshare Distribution
ProductMindshare (%)
Vectra AI8.7%
Sangfor Cyber Command2.2%
Other89.1%
Network Detection and Response (NDR)
 

Featured Reviews

Zaid Farooqui - PeerSpot reviewer
CIO at Indus Motor Company
Helped our organization by providing a comprehensive picture of our cyber posture in terms of threat intelligence
The most valuable feature is the capability to correlate all the vulnerabilities or threats detected from different sources. It does a very good job in correlating and identifying threat actors. Its integration with other products such as HCI, Firewall, and VDI solution for native control and detection also adds significant value.
reviewer2783214 - PeerSpot reviewer
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.

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 the capability to correlate all the vulnerabilities or threats detected from different sources."
"The tool is a good product in the NDR market. Its valuable features are ease of management and breach of response features. It is an easy-to-learn solution."
"Sangfor Cyber Command has helped our organization by providing a comprehensive picture of our cyber posture in terms of threat intelligence."
"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."
"Using this tool for automation has provided more benefits to our processes."
"The packet-capturing feature is very useful."
"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."
"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, and 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 UI is easy to use and when we send detection to everybody, they easily understand what we are asking at the time."
"If I look at the value I can extract from every Euro that I spend on Vectra, and compare it to every Euro I spend on other solutions, the return on investment on Vectra is way better."
"Vectra AI generates relevant information."
 

Cons

"The product needs to improve its dashboard. Integration with existing systems has been challenging. When comparing it with Trend Micro, which offers an all-in-one NDR solution, the tool's integration process can be difficult."
"The solution could improve by incorporating email security."
"Technical support could be improved, and I rate them a seven. The support team has fewer cybersecurity resources capable of managing Cyber Command compared to other solutions."
"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."
"I think Vectra AI's automation, reporting, and integration could be improved."
"The solution's marketing is not good."
"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."
"I would like more integrations with IOCs and threats currently on the Internet. I would also like to know which threats are based on zero-day attacks, current botnets, etc. Therefore, I would like more information on external threats."
"It does a little bit of packet capture on alert so you can look at the packet capture activity going on, but it doesn't collect a whole lot of data. Sometimes it's only one or two frames, sometimes it does collect more. That's why they have the addition of their Recall platform, because that really does help expand the capability."
"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."
"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."
 

Pricing and Cost Advice

Information not available
"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."
"The license is based on the concurrent IP addresses that it's investigating. We have 9,800 to 10,000 IP addresses."
"The pricing and licensing are quite straightforward because they're based on the IP licenses. As a result, they are easy to count."
"Vectra AI's pricing is cheaper than that of Darktrace."
"The solution is low-cost and affordable."
"The licensing is on an annual basis."
"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."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
10%
Manufacturing Company
9%
Comms Service Provider
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise10
Large Enterprise29
 

Questions from the Community

What needs improvement with Sangfor Cyber Command?
The solution could improve by incorporating email security. Additionally, there is room for improvement in the technical support capability side, as there are relatively fewer cybersecurity profess...
What is your primary use case for Sangfor Cyber Command?
The primary use case for Sangfor Cyber Command is threat hunting. It correlates vulnerabilities and threats detected from various sources including user side, server side, and Internet-facing and i...
What advice do you have for others considering Sangfor Cyber Command?
For organizations considering cybersecurity products, it's important to start the cybersecurity journey as threats are real. Sangfor Cyber Command provides valuable security insights and protection...
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.
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...
What is your primary use case for Vectra AI?
I primarily use Vectra AI for customers, and I only provide Vectra AI.
 

Also Known As

No data available
Vectra Networks, Vectra AI NDR
 

Overview

 

Sample Customers

Information Not Available
Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association
Find out what your peers are saying about Sangfor Cyber Command vs. Vectra AI and other solutions. Updated: September 2026.
920,929 professionals have used our research since 2012.