We compared Cuckoo Sandbox and Deep Instinct Prevention Platform based on our users' reviews in six categories. We reviewed all of the data, and you can find the conclusion below.
Features: Cuckoo Sandbox offers automated analysis in a virtualized environment. Cuckoo users praised its network traffic monitoring and extensibility. Users were impressed by Deep Instinct’s AI-driven approach and ability to detect and prevent zero-day malware. They also appreciate its proactive defense mechanisms.
Room for Improvement: Some Cuckoo Sandbox users found the automated analysis to be less accurate. Others reported issues with compatibility and performance. Deep Instinct Prevention Platform could improve its documentation, forensic capabilities, and logging system. Users say Deep Instinct’s AI model could be more transparent, and the solution could be better adapted to multi-tenant use cases.
Ease of Deployment: Users say Cuckoo Sandbox has a straightforward installation process and convenient deployment options. Users find it hassle-free and efficient. Deep Instinct Prevention Platform is somewhat complex to set up, requiring multiple steps and some training. The total deployment time may take months.
Service and Support: Cuckoo Sandbox support is generally considered excellent, and users noted that they could easily find answers in the solution’s active community forum. However, some users remarked that the documentation could be more comprehensive. Users praised Deep Instinct's customer service and support for their swift response and overall helpfulness.
Pricing: Users have provided no feedback on Cuckoo Sandbox’s pricing so far. Deep Instinct Prevention Platform is cheaper than many competing solutions, and support is included with the basic license.
ROI: The ROI of Cuckoo Sandbox varies and is influenced by factors like use case, efficiency, and ability to improve security operations. Deep Instinct Prevention Platform’s noteworthy benefits include time savings, reduced false positives, and effective prevention against unknown threats.
Comparison Results: Cuckoo Sandbox is an open-source malware analysis tool known for its automated analysis, virtualized environment, and network traffic monitoring. The solution is highly flexible and customizable, but users would like better documentation, improved performance, and greater compatibility with other solutions. Deep Instinct Prevention Platform offers a unique perspective on cybersecurity, with a focus on behavioral analysis and deep learning-based prevention. It also requires enhancements in its interface, administration, and logging system.
"The scalability is an eight out of ten."
"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."
"Deep Instinct complements the solutions we already have. You don't need to rip and replace any antivirus or endpoint that you have. It's easy to use and it's easy to have it side-by-side with other solutions. That makes it really easy to have an additional level of protection, rather than to hassle with doing solution migration."
"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."
"Deep Instinct was a strategic complement to our Open XDR platform."
"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."
"When we were looking at Carbon Black and Sophos, the prevention pieces weren't as strong when compared to DI, which is why we decided to go with DI... I would rather have a product that does the prevention up front and saves me the effort of having to wipe someone's workstation."
"The support is very good. They reply and respond very quickly."
"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 want the command to be quicker."
"The interface on the endpoint could be a little more descriptive and more valuable. It doesn't always tell you the data you need to see. Improvement there would be very helpful."
"When things get done automatically, I would appreciate more logging of what's happening in the background... we should be able to backtrack from the log that gets uploaded to our cloud instance and see, forensically, what the root cause was."
"Some features are too resource intensive."
"I would like a little more training for the admins."
"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 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."
"It would be nice if there were options where, if I have to do SIEM integration, I could do so from the UI: Just pick and choose what SIEM solutions the customers use and have options to have out-of-the-box connection facility."
"If the tool was able to provide fine-tuning capabilities from the product's end depending on the environment of its user, then it would be a good improvement in the solution."
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Earn 20 points
Cuckoo Sandbox is ranked 20th in Anti-Malware Tools with 1 review while Deep Instinct Prevention Platform is ranked 10th in Anti-Malware Tools with 18 reviews. Cuckoo Sandbox is rated 8.0, while Deep Instinct Prevention Platform is rated 8.6. The top reviewer of Cuckoo Sandbox writes "Provides great technical support and is very scalable". On the other hand, the top reviewer of Deep Instinct Prevention Platform writes "Bolsters prevention with great detection and response capabilities". Cuckoo Sandbox is most compared with VirusTotal, ANY.RUN, VMRay, Microsoft Defender for Endpoint and CrowdStrike Falcon, whereas Deep Instinct Prevention Platform is most compared with CrowdStrike Falcon, SentinelOne Singularity Complete, Microsoft Defender for Endpoint, CylancePROTECT and Cortex XDR by Palo Alto Networks.
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