We performed a comparison between Cybereason Endpoint Detection & Response and Deep Instinct Prevention Platform based on real PeerSpot user reviews.
Find out in this report how the two Endpoint Protection Platform (EPP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It is very easy to set up. I would rate my experience with the initial setup a ten out of ten, with ten being very easy to set up."
"Having all monitoring, response, tracking, and mitigation tools in one dashboard provides our analysts and SOC team with a comprehensive view at a glance."
"Fortinet FortiEDR's scalability is quite good, and you can add licenses to the solution."
"It notifies us if there's any suspicious file on any PC. If any execution or similar kind of thing is happening, it just alerts us. It doesn't only alert. It also blocks the execution until we allow it. We check whether the execution is legitimate or not, and then approve it or keep it blocked. This gives us a little bit of control over this mechanism. Fortinet FortiEDR is also very straightforward and easy to maintain."
"The solution was relatively easy to deploy."
"The product detects and blocks threats and is more proactive than firewalls."
"The stability is very good."
"This is stable and scalable."
"Immediately we can pick up the computers in the network if any malicious operation that is triggered."
"The solution is efficient."
"The initial setup process is straightforward."
"The interface is user-friendly."
"The dashboard is very good and you can consider it as an interactive UI."
"The initial setup was easy and straightforward."
"The initial setup is not overly complicated."
"We didn't have the visibility that we now have. It has increased our visibility by a lot. So, we put a lot more time into really looking at our environment and what is happening throughout our different networks. It has increased our visibility by around fivefold."
"The most important thing is that it is for prevention. It prevents attacks of any type of malware. Normally, what we've seen in other products is that they are not for prevention. They isolate a possible threat that they don't understand or know about, and then they check it with our database to see if it needs any correction or elimination. This means that the threat is already inside a customer's base, whereas Deep Instinct prevents a threat from getting in. Prevention is basically done by an agent in each installation, PCU, or product. An agent has its own intelligence to be able to detect if it should stop a threat or not. It has been taught. It is like a brain that has been taught to react according to any possible threat. Deep Instinct is very light. It doesn't take too much CPU attention or memory. It doesn't slow down the performance. You don't really realize any change in the performance, which makes it very different from other solutions. They are usually heavy for the users."
"The CPU consumption is low compared to what I have been using in my current environment, which is Sophos. The footprint is a lot smaller, about a quarter of Sophos. It is very small."
"The detection rate is very high. In all the testing with around 20 partners in different environments, quite a lot of them had installed with other anti-malware applications, like Sophos. This software can co-exist with those applications in the same machine. This is impressive."
"It has given us a more structured approach for detecting and preventing threats. It has machine learning-based detection and prevention. Their engines, in even older versions, are able to pick these viruses and malware. They have posted a lot of use cases online for detecting different viruses and malware that have been out for many years."
"Stability-wise, I rate the solution a ten out of ten."
"Instead of having features like rollback and after-event actionable stuff, the whole premise and the context of the solution is to actually prevent these malicious attacks from happening to begin with.... The ability to prevent threats is the most appealing aspect. It absolutely, 100 percent helps with real-time prevention of unknown malware. That's the strength of the product."
"Its false positives are very low, because the behavior analysis engine double checks them."
"It has a very low false-positive ratio. That is important because it means we're not wasting time... We're able to run that entire 20,000-endpoint base with just a handful of engineers."
"I haven't seen the use of AI in the solution."
"The solution's installation from a central installation server could be improved because the engineers had a little bit of trouble getting it installed from a central location."
"They can include the automation for the realtime updates. We have a network infrastructure with remote sites. Whenever they send updates, they are not automated. We have to go into the console and push those updates. I wish it was more automated. The update file is currently around 31 MB. It could be smaller."
"I think cloud security and SASE are areas of concern in the product where improvements are required. The tool's cloud version has to be improved in terms of the security it offers."
"The SIEM could be improved."
"The support needs improvement."
"FortiEDR could add a separate scanning dashboard. In incident management, we prefer to remove the endpoint system from the environment and scan the system. We typically use Symantec for that, but if we want to use FortiEDR for that, then we need a scanning tab to clarify things."
"Once, we had an event that was locked and blocked, but information about it came to us two or three days later."
"They need to improve their technical support services."
"I feel that the product lacks reporting features and needs improvement."
"The reporting feature needs improvement."
"The deployment on individual endpoints is more geared toward larger organizations. It might prove to be a bit too complicated for a smaller organization. You need to know what you're doing when you're deploying the sensor."
"Cybereason does not have sandbox functionality."
"Reporting could be a bit more granular so that we had the ability to check regions and countries. I just noticed that, for instance, if I look at our servers, it's either "contained" or it's "not contained". I don't have the option, for instance, to look at countries. It only allows me to look at users as one big group."
"While the product is very good, there are still some areas for improvement. The initial triage area could be a bit simpler. They get into the weeds real fast; it gets very detailed very fast. I am still looking for an easier triage layer on top with the ability to dig deeper."
"The integration with Microsoft solutions and Microsoft capabilities needs to be improved."
"I would love to see a really exceptional, outstanding level of reporting. I know that's like asking for a unicorn to leap out of the sky with any of these products... When everything works, clients began to wonder: "Everything's fine. Why do we need you?" That's where the reporting capabilities would allow us to really demonstrate: "Hey, here's what's actually going on, Mr. Customer.""
"The Deep Instinct client stops working when you have two servers and you add high availability or Windows Failover Cluster mode. It doesn't work in a clustered mode. I haven't yet had time to go back and talk with their support and get it fixed. It would be good if they can make the installation independent of an actual user. Currently, its installation is dependent on the actual user being logged in. For example, a computer has to be logged in for the installation to happen. If it is not logged in, then on the cloud platform, it is going to show that the client is offline. On the management side of the cloud platform, we would like to have the administrators segregated by logical entities. We have told them that on their cloud management platform, we would like to be able to segregate clients into different logical entities or organizations so that the administrators are able to manage only those entities that are within their designated organization."
"There's an issue in the installation process where you can't install it unless you disable the built-in Windows Bitdefender antivirus. So, you have to manually disable Microsoft Bitdefender in order to install Deep Instinct. So, that makes it impossible to do a network rollout unless you manually visit each computer, which is ridiculous."
"The Management Console is not localized."
"Due to the nature of deep learning, it’s sometimes difficult to determine why the AI model has blocked a specific file, although this has improved over time."
"They have a manual, but it is not excessive."
"If they can bring some additional, complementary solutions, like network scanning and the like, that will help. If they had some sort of a firewall which could help detect DDoS attacks and other things, it would be an improvement"
"I am looking forward to them adding Linux in Q1 or Q2 of 2019, as this is often requested by my partners and customers. Currently, Deep Instinct only has Windows, Mac, Android, and iOS."
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Cybereason Endpoint Detection & Response is ranked 42nd in Endpoint Protection Platform (EPP) with 19 reviews while Deep Instinct Prevention Platform is ranked 21st in Endpoint Protection Platform (EPP) with 18 reviews. Cybereason Endpoint Detection & Response is rated 8.0, while Deep Instinct Prevention Platform is rated 8.6. The top reviewer of Cybereason Endpoint Detection & Response writes "It has helped us become more knowledgeable about our environment and aware of threats". On the other hand, the top reviewer of Deep Instinct Prevention Platform writes "Bolsters prevention with great detection and response capabilities". Cybereason Endpoint Detection & Response is most compared with CrowdStrike Falcon, Microsoft Defender for Endpoint, Cortex XDR by Palo Alto Networks and Darktrace, whereas Deep Instinct Prevention Platform is most compared with CrowdStrike Falcon, SentinelOne Singularity Complete, Microsoft Defender for Endpoint, CylancePROTECT and Bitdefender GravityZone EDR. See our Cybereason Endpoint Detection & Response vs. Deep Instinct Prevention Platform report.
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