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Deep Instinct OverviewUNIXBusinessApplication

Deep Instinct is the #30 ranked solution in our list of endpoint security software. It is most often compared to Microsoft Defender for Endpoint: Deep Instinct vs Microsoft Defender for Endpoint

What is Deep Instinct?

Deep Instinct is the first and only company applying end-to-end deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial deep neural network brain learns to prevent any type of cyber threat, its prediction capabilities become instinctive. As a result, any kind of malware, known and new, first-seen malware, zero-days, ransomware and APT attacks from any kind are predicted and prevented in zero-time with unmatched accuracy and speed anywhere in the enterprise – Network, endpoint, Mobile – enabling multi-layered protection. To learn more, visit: https://www.deepinstinct.com.

Deep Instinct Buyer's Guide

Download the Deep Instinct Buyer's Guide including reviews and more. Updated: October 2021

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Pricing Advice

What users are saying about Deep Instinct pricing:
  • "Its pricing is too high, but that is not because of the product. It is expensive because of the cost of the console. You need a console to control the whole thing, but the console is expensive. You have to split this cost among all possible users. Normally, to be able to make it economically attractive, you need at least 1,000 agents, PCs, or users. If you have a customer with 300 to 500 agents, PCs, or users, it becomes too pricey."
  • "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."

Deep Instinct Reviews

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Paul Durand
Director at Ancona
Reseller
Top 10
A great threat-prevention solution that is light, simple to use, and easy to deploy and administer

Pros and Cons

  • "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."
  • "Its support for Linux and Unix operating systems can be improved. Currently, they cover macOS and Windows, but they don't cover Linux and some of the Unix products. Pricing is also an issue. Its pricing is not as aggressive as it could be, and its price makes it difficult to sell. Customers feel that they can get an antivirus for a lower price, even though it is not a similar product. It is technically different. Their SLAs can be better. They have to give you 24/7 support, but their SLAs are not very good. They should be better documented, and the offerings should also be a little bit better. What happens is that the SLAs end up in the hands of the intermediary, seller, or the local partner of Deep Instinct in a country. The customers want very fast SLAs in a very short time, but Deep Instinct doesn't give them at the same speed. Having said that, SLAs are important when you have a lot of issues, but this product doesn't have too many issues, so it is not a big concern. However, for a customer who doesn't know the product, it could be a concern."

What is our primary use case?

We used it basically with the idea of replacing antiviruses. We've done a proof of concept with a few customers. The experience has been at some customers of ours, but there hasn't been a final sale. We used the latest version of this solution.

What is most valuable?

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.

What needs improvement?

Its support for Linux and Unix operating systems can be improved. Currently, they cover macOS and Windows, but they don't cover Linux and some of the Unix products.

Pricing is also an issue. Its pricing is not as aggressive as it could be, and its price makes it difficult to sell. Customers feel that they can get an antivirus for a lower price, even though it is not a similar product. It is technically different. 

Their SLAs can be better. They have to give you 24/7 support, but their SLAs are not very good. They should be better documented, and the offerings should also be a little bit better. What happens is that the SLAs end up in the hands of the intermediary, seller, or the local partner of Deep Instinct in a country. The customers want very fast SLAs in a very short time, but Deep Instinct doesn't give them at the same speed. Having said that, SLAs are important when you have a lot of issues, but this product doesn't have too many issues, so it is not a big concern. However, for a customer who doesn't know the product, it could be a concern.

For how long have I used the solution?

I have been using this solution for a year or so.

What do I think about the stability of the solution?

It is totally stable. There is no problem with its stability.

What do I think about the scalability of the solution?

It is scalable. Our clients are medium to large organizations. 

How are customer service and technical support?

Their support is pretty good. Their documentation is also all in order.

How was the initial setup?

It is pretty straightforward to have it working. Its deployment is very fast. You put the agent into a computer or mobile phone, and it is very light. Everything is connected and registered in the console, and the console will do an audit and follow up with every unit in the network. You can get those statistics and information out of the console.

What about the implementation team?

It is pretty simple to deploy and maintain. It doesn't really need maintenance. Many other competitor products have very frequent revisions or upgrades of the product, sometimes even in the same month or week, whereas with this product, there are at the most two revisions or upgrades in a year. It is very simple to administer it.

What's my experience with pricing, setup cost, and licensing?

Its pricing is too high, but that is not because of the product. It is expensive because of the cost of the console. You need a console to control the whole thing, but the console is expensive. You have to split this cost among all possible users. Normally, to be able to make it economically attractive, you need at least 1,000 agents, PCs, or users. If you have a customer with 300 to 500 agents, PCs, or users, it becomes too pricey.

What other advice do I have?

It is very simple to get it working and keep it working.

I would rate Deep Instinct a nine out of ten. It is a great product.

Which deployment model are you using for this solution?

On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer: Reseller
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KS
Administrator at BAPS Swaminarayan Sanstha
Real User
Top 20
Provides a structured approach for detecting and preventing threats, but doesn't work in clustered mode and needs an option to segregate clients into different logical entities

Pros and Cons

  • "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."
  • "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."

What is our primary use case?

We are using Deep Instinct for malware protection on servers and workstations. We are using its latest version.

What is most valuable?

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. 

What needs improvement?

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.

For how long have I used the solution?

I have been using this solution for four months.

What do I think about the stability of the solution?

It is stable. There are no issues related to its stability. 

What do I think about the scalability of the solution?

We haven't scaled it yet. We have 250 or so endpoints, which include workstations, servers, etc.

How are customer service and technical support?

Tech support is provided by our MSP, Cyberforce. They are based out of Austin. They are also providing the solution. They respond very quickly, and they are good. I would rate them a nine out of ten.

Which solution did I use previously and why did I switch?

We didn't use any other solution.

How was the initial setup?

It was very straightforward and simple. You can obviously do the installation through the command line. It is not a typical EXE file that you just double click and install. 

We have NinjaRMM as our remote management tool for all endpoints. We were able to create a script on NinjaRMM and just do an automated install to Ninja. In a matter of 15 minutes, we had installed it over 200 servers or workstations.

What's my experience with pricing, setup cost, and licensing?

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.

Which other solutions did I evaluate?

We compared Deep Instinct with Cylance and CrowdStrike, and we ended up going with Deep Instinct. We felt it was going to give us better coverage, and the cloud management platform was also much easier to use.

What other advice do I have?

It is definitely worth looking at before you make a decision. 

I would rate Deep Instinct a seven out of ten. There are a few kinks, but it is a new company, so we can't expect everything from day one. With that understanding, we accepted some of the shortfalls.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Learn what your peers think about Deep Instinct. Get advice and tips from experienced pros sharing their opinions. Updated: October 2021.
542,267 professionals have used our research since 2012.
PK
Owner at a computer software company with 1-10 employees
Reseller
Top 20
Eradicates ransomware using non-signature-based detection, but the reporting could be enhanced

Pros and Cons

  • "The most valuable feature is its ability to detect and eradicate ransomware using non-signature-based methods."
  • "If the client is working remotely and doesn't have a VPN then the deployment is difficult to do."

What is our primary use case?

We are a software reseller and managed service company, and Deep Instinct is one of the EDR solutions that we implement for our customers. It is one of two EDR solutions that we offer to our client base as a managed service and a 24/7 basis.

The primary use case is ransomware control.

How has it helped my organization?

We think of this product as a fishing net that fits into the computer and has all of the capabilities and understanding of what ransomware and malware look like. It reacts to the look of ransomware, as opposed to trying to detect it by using a signature.

In our experience, it is a whole different concept that is extremely effective.

What is most valuable?

The most valuable feature is its ability to detect and eradicate ransomware using non-signature-based methods. It is not a traditional EDR.

What needs improvement?

My primary concern is that there are elements of the MSSP model that need updating. Specifically, there are some technical controls that need to be updated and it means that rolling it out is a little bit more complicated than it has to be. If the client is working remotely and doesn't have a VPN then the deployment is difficult to do.

In the future, I would like to see additional reporting made available.

Adding a firewall would negate the need for some products by other vendors. More generally, adding traditional endpoint security features over time would mean that we would not have to support multiple platforms.

For how long have I used the solution?

We have been using Deep Instinct for eight months.

What do I think about the stability of the solution?

The stability seems to be fine. Occasionally, we have to consider the brain of the solution, which is the component agent that goes to the endpoint. It remains stable because you're only pushing it out three or four times a year. Because it is not signature or EDR-based, you don't have updates.

What do I think about the scalability of the solution?

Scalability with this product is superb. We currently have about 2,000 clients who are using Deep Instinct.

Which solution did I use previously and why did I switch?

We also work with FortiEDR.

How was the initial setup?

The initial setup is very straightforward.

The length of time required for deployment depends on the number of users that the client has. We have some clients with 500 to 1,000 users, whereas one of our clients only has eight. I would say that you can finish deploying this product in less than half a day, regardless of size.

What's my experience with pricing, setup cost, and licensing?

We are satisfied with the pricing. 

What other advice do I have?

The most complicated part about endpoint security these days has to do with COVID because you have so many people who are working remotely, and they made the transition without a lot of forethought. The cloud-based deployment helps because if you are in an on-premises environment, it's extremely complicated unless they have VPNs.

Overall, this is a good product and it is extremely effective. That said, changes to the deployment process and making the reports a little prettier would be a good way to improve it. Functionally, it meets our requirements, but it doesn't have all of the bells and whistles that other products have.

I would rate this solution a seven out of ten.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Ronald Rosenbaum
Managing Director at The IT Agency Pty Ltd
Real User
Top 10
A simple, effective, and lightweight antivirus solution

Pros and Cons

  • "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."
  • "Reporting on incidents needs improvement."

What is our primary use case?

We provide managed services for our clients and we are looking at this solution for many, if not all, of our customers. Depending on the results of our evaluation, we may be making it our standard.

What is most valuable?

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's fast in comparison and we like that. It's simple, which is okay.

What needs improvement?

Reporting on incidents needs improvement. It doesn't give very much information compared to Sophos. Sophos will give you a graphic that you can zoom in on the subject and find out everything that the exploit tried to do. It gives you a visual sense of what is going on.

When it does find something I am not 100% sure that they are exploits or if they are false positives. At times, it can be difficult to tell what the problem is.

The deployment was a bit difficult. It was more difficult than Sophos, for example, with having to create an installer. I had to read through a lot of documentation to figure it out. It's clunky and cumbersome.

In Sophos, I can click what I want and it downloads an installer for each tenant. It just takes seconds. Whereas with Deep Instinct, I have to create a whole script and a lot more steps to deploy it.

You have to be more technical to deploy it. You can't just send a file to an end-user and have them install it. You have to have technical expertise.

The dashboards are quite primitive compared to Sophos, which is both good and bad. It's good because it's fast.

Easier Deployment would be better. More integration with RMMs, such as LabTech or Automate. Also, there should be more optics. When it does something, more information on what's happening would help us to make better decisions.

What do I think about the stability of the solution?

We are still in the test phase at the moment, but I know a few companies that use it in mass and they like it a lot. From them, I know that it is stable.

What do I think about the scalability of the solution?

The solution is scalable and there are no issues with that.

Which solution did I use previously and why did I switch?

Previously we were using Webroot, but we are in the process of getting rid of it. We are thinking of moving all of our clients to Deep Instinct, and Sophos. We may have some clients on one and some on the other.

We have been using Sophos for five years now.

Sophos uses a huge amount of resources. There are a lot of components, and because it has so many, sometimes there are problems with installations. When there is a problem it takes forever to fix it. Also, it drains battery life on my laptop or tablet. With Deep Instinct, it lasts for hours.

Which other solutions did I evaluate?

 We are in the process of evaluating Deep Instinct.

What other advice do I have?

I would suggest that people seriously consider using Deep Instinct. It's no-frills but effective and lightweight.

At this point, I would rate this solution an eight out of ten.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
NH
Security Consultant at a tech services company with 10,001+ employees
Consultant
Top 20
Provides very good detections for PowerShell and active scripts; has a user friendly UI

Pros and Cons

  • "Good detections for PowerShell. and good user interface."
  • "Some features are too resource intensive."

What is our primary use case?

I'm a security consultant and we are customers of Deep Instinct. 

What is most valuable?

The user interface is a good feature. It shows which process has been accessed and the flow. The detections for PowerShell are also pretty good as is the active scripts detection feature. 

What needs improvement?

Some of the features are very resource intensive, such as the ransomware detection. It consumed so much of the resource on the endpoints that we have disabled those functions. If they could improve the detection logic so that those elements would consume less resource, that'd be effective. They could also improve the reporting feature so it coul be more like you find in Maltego or IBM's i2. They could introduce a graph feature to coordinate between search and those things, perhaps a dashboard of some kind.

For how long have I used the solution?

I've been using this solution for almost a year and a half. 

What do I think about the stability of the solution?

This is a stable solution. 

What do I think about the scalability of the solution?

This is a scalable solution. We have around 3,000 endpoints and one person in our company who deals with maintenance. 

How are customer service and technical support?

We had difficulty connecting with them and initially we were not sure who to contact. It took around eight to 10 hours to get hold of that person so support could be improved. 

What other advice do I have?

I would not recommend this solution for small companies but for companies that deal with sensitive data, I would recommend it as an additional layer of security. It cannot be used as a stand alone product from my perspective, but it can be used with a defense-in-depth approach.

I would rate this solution an eight out of 10. 

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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