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Deep Instinct Prevention Platform vs OPSWAT Filescan Sandbox comparison

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Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Deep Instinct Prevention Pl...
Ranking in Anti-Malware Tools
20th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
20
Ranking in other categories
Endpoint Protection Platform (EPP) (25th)
OPSWAT Filescan Sandbox
Ranking in Anti-Malware Tools
33rd
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Anti-Malware Tools category, the mindshare of Deep Instinct Prevention Platform is 1.0%, up from 1.1% compared to the previous year. The mindshare of OPSWAT Filescan Sandbox is 1.6%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Anti-Malware Tools Mindshare Distribution
ProductMindshare (%)
Deep Instinct Prevention Platform1.0%
OPSWAT Filescan Sandbox1.6%
Other97.4%
Anti-Malware Tools
 

Featured Reviews

Tom Foal - PeerSpot reviewer
CTO at Klaatu IT Security Ltd
Stops ransomware before it executes and reduces response time for the team
A potential area of improvement for Deep Instinct Prevention Platform is their focus on file uploads and large data storage, backups, and other related areas. It is difficult to think of what they could improve, but low information provided by the system when it detects something is one area, particularly in scripting. Deep Instinct Prevention Platform detects malicious scripts but it needs better measures, perhaps signing scripts, so we can be sure that a script is created by a client, not by some malware. It is really about helping us triage incidents effectively, so a bit more help with the analysis of incidents, particularly what the Deep Instinct Prevention Platform agent has discovered, would be beneficial. We need to know what it has spotted that makes it suspect malware.
reviewer2390334 - PeerSpot reviewer
Cyber Security Engineer at a security firm with 11-50 employees
An easily integratable solution that helps scan files
I recommend leveraging the data and using case transcripts to understand how the tool can address your needs. Additionally, testing the solution in your environment can be helpful. If we keep it updated and ensure that the engines and the latest definitions are up-to-date, the solution functions without problems. It continues scanning without any delays. I rate the product an 8 out of 10. With OPSWAT Filescan Sandbox, we can scan various file types, including IOCs, Python compressors, and QR codes from images. All the configuration settings are user-dependent and can be modified over time. It's highly configurable—you can easily navigate to the console, click on any option, and quickly adjust settings, including the default size.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Deep Instinct was a strategic complement to our Open XDR platform."
"It has the lowest false-positive ratio that I have come across. I have only had one which was a legitimate file that I had to whitelist. It was for one of the applications I was trying to install and integrate. But the false positive ratio is very low."
"Deep Instinct can actually predict unknown malware that is going to come out, as well, because of the way they have built this technology."
"The user interface is a good feature; it shows which process has been accessed and the flow, and the detections for PowerShell are also pretty good, as is the active scripts detection feature."
"Good detections for PowerShell. and good user interface."
"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."
"This solution is good at catching viruses and it's very effective and lightweight, which are all things that you want in an antivirus product."
"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."
"What I find most valuable about it is the design interface."
 

Cons

"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."
"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 Achilles heel in our industry is reporting. I would love to see exceptional, outstanding level of reporting."
"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."
"Pricing is also an issue. Its pricing is not as aggressive as it could be, and its price makes it difficult to sell."
"The Deep Instinct client stops working when you have two servers and you add high availability or Windows Failover Cluster mode."
"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."
"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 a size limitation, allowing us to scan only small files."
 

Pricing and Cost Advice

"One thing about their licensing program that I like is that just one covers the server as well as on the endpoint as well as mobile devices. There is no complexity in calculating how many SKUs I need for mobile, for laptop, for desktop, and for servers. It's very simple and that makes it much easier to budget."
"Their pricing is very competitive. It is good, fair, and a lot cheaper than what we were doing with Cylance."
"There is a need for customers of the product to pay towards the licensing costs of the tool."
"Pricing and licensing are very straightforward. It's two SKUs, one is for the console and the other is for the client."
"If I include the false positive rate and the detection rate in the comparison, Deep Instinct is worth its price."
"We are a nonprofit. The MSP had provides pretty decent nonprofit rates for us. This was one of the key factors that made us choose Deep Instinct over its competitors who were significantly more expensive."
"There are no additional costs on the price, and our company has a support contract, which bundles in those services anyway."
"In comparison to the other products out there, it's exceptionally competitively priced. When you consider the lower administrative overhead that it facilitates, it's an absolute value."
"The tool is free, but there's a size limitation, allowing us to scan only small files."
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Top Industries

By visitors reading reviews
Outsourcing Company
13%
Construction Company
13%
Manufacturing Company
10%
Financial Services Firm
9%
Manufacturing Company
12%
Financial Services Firm
10%
Construction Company
10%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise4
Large Enterprise5
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Deep Instinct?
The price for Deep Instinct Prevention Platform is reasonable. It is about the same price as any other antivirus.
What needs improvement with Deep Instinct?
A potential area of improvement for Deep Instinct Prevention Platform is their focus on file uploads and large data storage, backups, and other related areas. It is difficult to think of what they ...
What is your primary use case for Deep Instinct?
Deep Instinct Prevention Platform is basically a stopper that prevents any malware, including zero-days. The main benefit Deep Instinct Prevention Platform provides is that it stops ransomware, whi...
Ask a question
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Overview

Find out what your peers are saying about Microsoft, SentinelOne, OPSWAT and others in Anti-Malware Tools. Updated: October 2026.
921,028 professionals have used our research since 2012.