We performed a comparison between Cisco Secure Network Analytics and NETSCOUT InfiniStreamNG based on real PeerSpot user reviews.Find out what your peers are saying about Darktrace, Auvik, Vectra AI and others in Network Traffic Analysis (NTA).
"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 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 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."
"The most useful feature is the anomaly detection because it's not signature-based. It picks up the initial part of any attack, like the recon and those aspects of the kill chain, very well."
"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."
"What I like best about Vectra AI is that it alerts you about suspicious activities."
"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."
"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."
"It has definitely helped us improve our mean time to resolution on network issues."
"Overall, the implementation is very good."
"From what I understand, you can encrypt and unencrypt traffic moving in transit. This is one of the features that we liked about it."
"If you are using Darktrace or NAC solutions you can integrate Stealthwatch."
"StealthWatch lets me see the ports running in and out and the country. It has excellent reporting, telemetry, and artificial intelligence features. With the telemetry, I can set thresholds to detect sudden changes and the alarms go through the PLC parts. I can see all the ports running on that trunk."
"Great network monitoring, looking at anomaly detection and evaluation."
"It's an easy product to set up."
"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."
"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."
"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."
"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."
"Integration with other security components needs improvement. It should have true integration as opposed to just being a separate pane of glass."
"I would like to see data processed onshore. Right now, the cloud components, like Office 365, must be processed on servers outside of Australia. I would like to see a future adoption of onshore processing."
"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's a good solid solution but integration with Network Access Control products with Cisco ISE would be good."
"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."
"We would like the solution to make more advances in the way that Extreme Networks has been doing."
"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."
"The visualization could be improved, the GUI is not the best."
"It's not great as a standalone solution."
"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."
"We determined that Stealthwatch wouldn't provide the machine learning model that we required."
"I'd like them to make the product more user-friendly."
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
Outsmart emerging threats in your digital business with industry-leading machine learning and behavioral modeling provided by Secure Network Analytics (formerly Stealthwatch). Know who is on the network and what they are doing using telemetry from your network infrastructure. Detect advanced threats and respond to them quickly. Protect critical data with smarter network segmentation. And do it all with an agentless solution that grows with your business.
NETSCOUT’s new ISNG platform harnesses the power of IP intelligence by mining traffic in real-time to deliver accurate and actionable data for service assurance, cybersecurity and business intelligence applications. The InfiniStreamNG platform fully supports the nGeniusONE and Iris application suites.
Cisco Secure Network Analytics is ranked 4th in Network Traffic Analysis (NTA) with 9 reviews while NETSCOUT InfiniStreamNG is ranked 51st in Network Monitoring Software with 1 review. Cisco Secure Network Analytics is rated 8.2, while NETSCOUT InfiniStreamNG is rated 8.0. The top reviewer of Cisco Secure Network Analytics writes "Provides valuable security knowledge and helps us improve network performance". On the other hand, the top reviewer of NETSCOUT InfiniStreamNG writes "Easy to set up with good documentation and helpful support". Cisco Secure Network Analytics is most compared with Darktrace, ThousandEyes, SolarWinds NetFlow Traffic Analyzer, Palo Alto Networks Threat Prevention and Splunk User Behavior Analytics, whereas NETSCOUT InfiniStreamNG is most compared with NETSCOUT nGeniusONE, NETSCOUT vSTREAM and Pico Corvil Analytics.
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.