"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."
"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."
"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 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 administrative privilege detection feature is the most valuable feature. The admin accounts are often highly accessible to the high-risk component of the environment. If those accounts are compromised or are being used in a suspicious manner, that's high-fidelity events for us to look into."
"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."
"It has reduced the time it takes to respond to attacks. That comes back to the proactive point. It makes us able to lower down in the kill chain, we can react now, rather than reacting to incidents that happened, we can see an instant, in some cases, as it's being implemented, or as it's being launched."
"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."
"When I create a workbench query in Awake to do threat hunting, it's much easier to query. You get a dictionary popup immediately when you try to type a new query. It says, "You want to search for a device?" Then you type in "D-E," and it gives you a list of commands, like device, data set behavior, etc. That gives you the ability to build your own query."
"The security knowledge graph has been very helpful in the sense that whenever you try a new security solution, especially one that's in the detection and response market, you're always worried about getting a lot of false positives or getting too many alerts and not being able to pick out the good from the bad or things that are actual security incidents versus normal day to day operations. We've been pleasantly surprised that Awake does a really good job of only alerting about things that we actually want to look into and understand. They do a good job of understanding normal operations out-of-the-box."
"The most valuable portion is that they offer a threat-hunting service. Using their platform, and all of the data that they're collecting, they actually help us be proactive by having really expert folks that have insight, not just into our accounts, but into other accounts as well. They can be proactive and say, 'Well, we saw this incident at some other customer. We ran that same kind of analysis for you and we didn't see that type of activity in your network.'"
"We appreciate the value of the AML (structured query language). We receive security intel feeds for a specific type of malware or ransomware. AML queries looking for the activity is applied in almost real-time. Ultimately, this determines if the activity was not observed on the network."
"The interface itself is clean and easy to use, yet customizable. I like that I can create my own dashboards fairly easily so that I can see what is important to me. Also, the query language is pretty easy to use. I haven't needed to use it a ton, but as I need to go in and do different queries based on their requests, it has been fairly simple to use."
"It gives us something that is almost like an auditing tool for all of our network controls, to see how they are performing. This is related to compliance so that we can see how we are doing with what we have already implemented. There are things that we implemented, but we really didn't know if they were working or not. We have that visibility now."
"The query language that they have is quite valuable, especially because the sensor itself is storing some network activity and we're able to query that. That has been useful in a pinch because we don't necessarily use it just for threat hunting, but we also use it for debugging network issues. We can use it to ask questions and get answers about our network. For example: Which users and devices are using the VPN for RDP access? We can write a query pretty quickly and get an answer for that."
"It provides good visibility to the customers. People are still evaluating it, but it provides visibility and helps them to take action to remediate and mitigate the issues that are highlighted on the dashboard. It has good integration with the Cisco switching platform."
"From what I understand, you can encrypt and unencrypt traffic moving in transit. This is one of the features that we liked about it."
"Cisco Stealthwatch has predefined alerts for different types of security issues that might happen in the network. Whether it's PCs or servers that are used for botnets or Bitcoin mining we receive the alerts automatically. This functionality is what we receive from the solution out of the box."
"We find that Stealthwatch can detect the unseen."
"Overall, the implementation is very good."
"If you are using Darktrace or NAC solutions you can integrate Stealthwatch."
"It's easy to set up. The deployment takes one or two days. You need to collect the data from a device and then direct it to the portal."
"Great network monitoring, looking at anomaly detection and evaluation."
"If you hit a certain number of rules, triage filters, or groups, the UX responds more slowly. However, we have a complex network and a lot of rules. So, our setup might not be a typical implementation example. We even had UX engineers onsite, and they looked at issues, improvements, and user feedback. Since then, it has gotten a lot better, they even built in features that we specifically requested for our company."
"The false positives and the tuning side of it is something that could use improvement. But that could be from our side."
"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."
"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."
"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."
"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."
"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."
"Integration with other security components needs improvement. It should have true integration as opposed to just being a separate pane of glass."
"One thing I would like to see is a little bit more education or experience on AWS cloud for their managed services team. We've explained how we have the information set up, that the traffic coming in goes to the AWS load balancer and then gets sent on to our internal servers... but when I get notices they always tell me this traffic is coming from the IPs belonging to the load balancers, not the source IPs. So a little bit more education for their team about how AWS manages the traffic might help out."
"They've been focused on really developing their data science, their ability to detect, but over time, they need to be able to tie into other systems because other systems might detect something that they don't."
"When I looked at the competitors, such as Darktrace, they all have prettier interfaces. If Awake could make it a little more user-friendly, that would go a long way."
"The one thing that the Awake platform lacks is the ability to automate the ingestion of IOCs rather than having to import CSV files or JSON files manually."
"While the appliance is very good, and I think they're working on it, it would probably help if they integrated the management team cases into the appliance so that everything we are working on with them would be accessible on our platform, on the dashboard, on the portal. Right now, Awake is just an additional team that uses the appliance that we use and then we communicate with them directly. Communication isn't through the portal."
"Awake Security needs to move to a 24/7 support model in the MNDR space. Once they do that, it will make them even better."
"One concern I do have with Awake is that, ideally, it should be able identify high-risk users and devices and entities. However, we don't have confidence in their entity resolution, and we've provided this feedback to Awake. My understanding is that this is where some of the AI/ML is, and it hasn't been reliable in correctly identifying which device an activity is associated with. We have also encountered issues where it has merged two devices into one entity profile when they shouldn't be merged. The entity resolution is the weakest point of Awake so far."
"Stealthwatch is still maturing in AI. It uses artificial intelligence for predictions, but AI still needs to mature. It is in a phase where you get 95% correct detection. As its AI engine learns more, it will become more accurate. This is applicable to all the devices that are using AI because they support both supervised and unsupervised machine learning. The accuracy in the case of supervised machine learning is dependent on the data you feed into the box. The accuracy in the case of unsupervised machine learning is dependent on the algorithm. The algorithm matures depending on retrospective learning, and this is how it is able to detect zero-day attacks."
"It's a good solid solution but integration with Network Access Control products with Cisco ISE would be good."
"It's not great as a standalone solution."
"Many of these tools require extensive on-premises hardware to run."
"The visualization could be improved, the GUI is not the best."
"Cisco Stealthwatch can improve by having bundled packages for popular add-ons. It would be a lot easier for people implementing it, have let's say a better way to use the product."
"There could be better integration on the programming side, which uses Python. StealthWatch could provide a template for Python to manage the switches. For example, it would be nice if StealthWatch bounced a port automatically it detected something anomalous."
"Cisco could improve the administration for the customers."
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
Arista NDR (formerly Awake Security) is the only advanced network detection and response company that delivers answers, not alerts. By combining artificial intelligence with human expertise, Arista NDR hunts for both insider and external attacker behaviors, while providing autonomous triage and response with full forensics across traditional, IoT, and cloud networks. Arista NDR delivers continuous diagnostics for the entire enterprise threat landscape, processes countless network data points, senses abnormalities or threats, and reacts if necessary—all in a matter of seconds. The Arista NDP platform stands out from traditional security because it is designed to mimic the human brain. It recognizes malicious intent and learns over time, giving defenders greater visibility and insight into what threats exist and how to respond to them.
Cisco Stealthwatch uses NetFlow to provide visibility across the network, data center, branch offices, and cloud. Its advanced security analytics uncover stealthy attacks on the extended network. Stealthwatch helps you use your existing network as a security sensor and enforcer to dramatically improve your threat defense.
Your network may have security risks that you don't know about. Schedule a live demo to see how you can use Awake Security to identify and mitigate these threats.
Arista NDR is ranked 5th in Network Traffic Analysis (NTA) with 7 reviews while Cisco Stealthwatch is ranked 4th in Network Traffic Analysis (NTA) with 10 reviews. Arista NDR is rated 8.8, while Cisco Stealthwatch is rated 8.2. The top reviewer of Arista NDR writes "it's much easier to create your own queries and hunt for threats". On the other hand, the top reviewer of Cisco Stealthwatch writes "Provides valuable security knowledge and helps us improve network performance". Arista NDR is most compared with Darktrace, Corelight, ExtraHop Reveal(x), Splunk User Behavior Analytics and Palo Alto Networks Threat Prevention, whereas Cisco Stealthwatch is most compared with Darktrace, SolarWinds NetFlow Traffic Analyzer, ThousandEyes, Palo Alto Networks Threat Prevention and Cisco Stealthwatch Cloud. See our Arista NDR vs. Cisco Stealthwatch report.
We monitor all Network Traffic Analysis (NTA) 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.