"The solution is stable."
"It gives you access, with Recall, to instant visibility into your network through something like a SIEM solution. For us, being able to correlate all of this network data without having to manage it, has provided immediate value. It gives us the ability to really work on the stuff where I and my team have expertise, instead of having to manage a SIEM solution..."
"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."
"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."
"It does a reliable job of parsing out the logs of all the network traffic so that we can ingest them into our SIEM and utilize them for threat hunting and case investigations. It is pretty robust and reliable. The administration time that we spend maintaining it or troubleshooting it is very low. So, the labor hour overhead is probably our largest benefit from it. We spend 99% of our time in Vectra investigating cases, responding to incidents, or hunting, and only around 1% of our time is spent patching, troubleshooting, or doing anything else. That's our largest benefit from Vectra."
"The solution provide visibility into behaviors across the full lifecycle of an attack in our network, beyond just the Internet gateway. It makes our security operations much more effective because we are now looking not just at traffic on the border, but we're looking at east-west internal traffic. Now, not only will we see if an exploit kit is being downloaded, but we would be able to see then if that exploit kit was then laterally distributed into our environment."
"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."
"Vectra produces actionable data using automation. That has helped us. It's less manpower now to look at incidents, which has definitely increased efficiency. Right now, in a lot of cases, our mean time to detection is within zero days. This tells me by the time something happened, and we were able to detect it, it was within the same day."
"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."
"The licensing price could be better."
"I'd like to be able to get granular reports and to be able to output them into formats that are customizable and more useful. The reporting GUI is lacking."
"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."
"Some of the customization could be improved. Everything is provided for you as an easy solution to use, but working with it and doing specific development could be worked on a bit more in the scope of an incident response team."
"Integration with other security components needs improvement. It should have true integration as opposed to just being a separate pane of glass."
"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."
"The false positives and the tuning side of it is something that could use improvement. But that could be from our side."
"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."
"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."
Flowmon Anomaly Detection System is a network security solution that analyzes network traffic from multiple perspectives to counter malicious behaviour and cyberattacks. By using a combination of detection methods, including machine learning, adaptive baselining, heuristics, behaviour patterns, and signatures, context-rich visualization and reporting, ADS provides SecOps teams with capabilities for successful incident detection, handling, analysis and response. Flowmon ADS is a part of the Kemp product portfolio.
Vectra threat detection and response is a complete cybersecurity platform that collects, detects, and prioritizes security alerts. The Cognito platform for Network Detection and Response (NDR) detects and responds to attacks inside cloud, data center, Internet of Things, and enterprise networks. The platform also provides automated response capabilities for low-level threats and escalates more severe anomalies to security personnel.
Cognito captures data for multiple relevant sources and enriches it with context and security insights. It starts by deploying sensors across different networks in datacenters, IoT, or enterprise networks. The algorithm extracts relevant metadata from network and cloud traffic. The information can also be non-security information that can help investigation.
The data is enriched with security context to support critical use cases, such as threat detection, investigation, hunting and compliance. The platform is machine learning-based, which enables it to adapt to any new and current threat scenario. It detects, clusters, prioritizes, and anticipates attacks by using identity and host-level enforcement.
With the Vectra platform, a person can investigate 50 threats in just two hours. By prioritizing alerts and leveraging threat intelligence, it provides faster results.Vectra solves today’s security challenges for network detection and response.
One of Vectra’s best features is the emphasis they put in pairing research and data science for security insights. It offers behavior codification with unsupervised, supervised, and deep learning models.
The pricing is according to a subscription model with a free trial available.Vectra is available for Office 365, Azure AD and AWS Brain.
Features of Vectra AI
Benefits of Vectra AI
Other advantages of Vectra services include that they can be deployed in the public, private, or hybrid cloud. Support is available via email or online ticketing with an average of 4 hours of response. Phone support is available 24/7.
Vectra provides full on-site and online training and documentation. Regarding the user interface, it supports several types of web browsers, such as Internet Explorer, Microsoft Edge, Firefox, Chrome, Safari and Opera. However, it is not available for mobile devices.
Reviews from Real Users
Here’s what PeerSpot users of Vectra AI have to say about it:
"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." - Dave W., Operations Manager at a healthcare company
"It does a reliable job of parsing out the logs of all the network traffic so that we can ingest them into our SIEM and utilize them for threat hunting and case investigations. It is pretty robust and reliable. The administration time that we spend maintaining it or troubleshooting it is very low.” - T.S., Senior Security Engineer at a manufacturing company
Flowmon Anomaly Detection System is ranked 9th in Network Detection and Response (NDR) with 1 review while Vectra AI is ranked 2nd in Network Detection and Response (NDR) with 15 reviews. Flowmon Anomaly Detection System is rated 0.0, while Vectra AI is rated 9.0. The top reviewer of Flowmon Anomaly Detection System writes "A stable and scalable solution allowing for the visibility of and the blocking of threats". On the other hand, the top reviewer of Vectra AI writes "Using Recall and Detect we have been able to track down if users are trying to bypass proxies". Flowmon Anomaly Detection System is most compared with Darktrace, Zabbix, Cisco Stealthwatch, Nagios XI and Trend Micro TippingPoint Threat Protection System, whereas Vectra AI is most compared with Darktrace, Cisco Stealthwatch, ExtraHop Reveal(x), Corelight and Palo Alto Networks Threat Prevention.
See our list of best Network Detection and Response (NDR) vendors.
We monitor all Network Detection and Response (NDR) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.