Cloud Native Security offers the flexibility to create a customized solution that fits our specific needs. It's a comprehensive tool encompassing the central elements—PSC, PPP, and more.

It is advantageous in terms of time-saving and cost reduction.

There's an array of upcoming versions with numerous features to be incorporated into the roadmap. Customers particularly appreciate the service's emphasis on intensive security, especially the secret scanning aspect. During the proof of concept (POC) phase, the system is required to gather logs from the customer's environment. This process entails obtaining specific permissions, especially in terms of gateway access. While most permissions for POC are manageable, the need for various permissions may need improvement, especially in the context of security.

I have been using Cloud Native Security for the past six months.

I'd rate it an eight. It's a reliable solution that the organization is increasingly adopting for its robust features and security.

It is quite scalable. I would rate it an eight out of ten.

They are helpful.

Prisma Cloud seemed limited in its solutions and had to acquire other companies for broader offerings, while Cloud Native Security provided more comprehensive and tailor-made solutions, especially in terms of authentic security features.

The setup isn’t easy because it doesn't support Azure. It's something on the roadmap. It doesn't limit itself to a particular hypervisor.

For now, we don't handle the maintenance. It's all managed by the vendor for our customers.

It's not expensive. The product is in its initial growth stages and appears more competitive compared to others. It comes in different variants, and I believe the enterprise version costs around $55 per user per year. I would rate the pricing a five, somewhere fairly moderate.

I would rate it 8 out of 10.

We use Singularity Cloud Workload Security for our production and build workloads.

We implemented the solution to simplify the deployment of forensic tools, including EDR, into our cloud infrastructure, where it may be difficult to install an agent.

We have a hybrid deployment, with an estimated 8,000 to 70,000 cloud workloads. We serve a customer base of nearly one billion people, including 700 million current EA subscribers. Handling this workload is no small feat. The estimate is so broad because we do not own or control every AWS, Azure, or GCP account; studios use this infrastructure without our help. We are still in the discovery phase of trying to determine the exact number of workloads. There are thousands of Kubernetes clusters.

Singularity Cloud Workload Security's real-time threat detection capabilities are good. We recompeted SentinelOne against fifteen or twenty different AV vendors over the course of 2018 and 2019 and found SentinelOne to be superior in virtually every possible way.

Forensic capabilities are now excellent. When we started, we had a contractual agreement with SentinelOne to improve deep visibility to match our current toolset, Carbon Black Response. Over the course of two years, they delivered everything we could get from Carbon Black and even more.

The visibility of workload telemetry is excellent, and the hunting capabilities are second to none.

When no human intervention is required Singularity Cloud Workload Security detects and remediates nearly instantaneously.

Our MTTD is sub 30 days.

Our MTTR is seven days after detection for most instances.

The interoperability with third-party solutions is great.

The most valuable feature is the ability to gain deep visibility into the workloads inside containers.

Sometimes the Storyline ID is a bit wacky. It's not that the data is inaccurate, but the threat item that's flagged can sometimes point to a storyline that's not relevant to the hunting object we're looking for. In short, Singularity Cloud Workload Security can sometimes take us on a roundabout way to get to where we want to be when using Storyline ID.

I would like a public repository for CWPP. Having to request a script from SentinelOne to deploy CWPP is not ideal, and this is true for all of the tools, including the Linux agent. Without a public repository, when a deployment team needs something like a GPG key to validate the image, we have to request a signed copy of the software. This is not ideal because it removes our ability to self-serve. Therefore, if I had to ask for anything to make it easier, it would be signed images that are GPG signed and a public repository where we can get the bits from.

I have been using Singularity Cloud Workload Security for over four years.

Singularity Cloud Workload Security is stable. No lag, no crashing, no downtime. The joy of running as a container is that it doesn't break the other parts.

The Singularity Cloud Workload Security auto-scaling feature is great.

Technical support is excellent. One of the selling points of SentinelOne is the incredibly good support.

The initial deployment was straightforward, but only because I had to obtain a script from SentinelOne. I completed the deployment myself.

Our three-year renewal with SentinelOne this year was shockingly expensive. In fact, covering our 50,000 endpoints would have nearly bankrupted most security programs, even well-funded ones like ours. The sticker shock is real. I understand that SentinelOne is a market leader, but the bill we received was astronomical.

We evaluated a few application security tools, but CWBB is only a software opportunity. SentinelOne has become our primary solution for all aspects of endpoint security. Therefore, when we considered adding detections for cloud workloads, it made sense to choose SentinelOne as the ideal solution.

I would rate Singularity Cloud Workload Security nine out of ten.

To someone who doesn't think they need CWPP because they already have a continuous security monitoring solution in place, I would say, Consider the old security adage that they are not currently free of malicious items. They have them, but they just don't know where they are.

We have an upgrade policy for maintenance purposes. We need to implement the upgrade policy, but we do this through Chef automation. Writing Chef automation for this can be a bit complex, but it is not impossible.

SentinelOne Cloud Workload Security's ability to be innovative is excellent. I'm a big fan of SentinelOne's API, which has allowed me to develop some creative solutions. I'm actually the only SentinelOne administrator at my organization, so in terms of innovation, it's probably the best tool I've ever used. I've been able to create an automated "one-man army" using SentinelOne.

I recommend deploying a test environment. Do not try to deploy this into an existing environment and test there. It's a bad idea. Not from a SentinelOne perspective, but I'm not much of a Kubernetes expert. I know it can be dangerous, and we tried to do this in a test environment of a live production environment and had a lot of trouble. Not because of SentinelOne, but because of our Kubernetes deployment. Having to complete a bad Kubernetes environment with little knowledge of CWPP basically made getting it working very difficult. So my advice would be to build a clean, industry-standard test environment that can be broken with no risk.

We use Singularity Cloud Workload Security to protect all our servers from malware, both present and future. We also use it to protect our user endpoints, such as workstations and employee laptops.

We recently switched from Windows Defender to SentinelOne endpoint protection after a few of our laptops were infected with malware. SentinelOne has been protecting our laptops, endpoints, and servers for two years now, and it has performed well in internal and external audits.

We currently have a hybrid Active Directory environment. SentinelOne itself is a SaaS-based product, so it is fully cloud-based. However, we need to install agents on all of our endpoints and cloud services.

Singularity Cloud Workload Security has real-time threat detection capabilities. We have tested it with multiple clients and ourselves, and it has detected malware every time we have been attacked. Compared to other major security vendors, Singularity Cloud Workload Security had the best detection rates for all the malware we threw at it during our proof of concept.

Automated remediation is policy-based, which makes it very useful. The SentinelOne platform gathers all information about how the threat played out and all the changes that were affected on our system. Using this information makes it very easy to remediate all the damage because we know what happened. Automated remediation is amazing and a key differentiator from other competitors.

For Linux kernels, the agent supports almost all platforms, including legacy Windows, macOS, and Linux. We have a few Linux servers, and the mitigation and all the other features work just as well as on the other operating systems.

Using the Deep Visibility Console, we can thoroughly investigate everything that was called or changed on a computer. This gives us visibility into virtually everything that happens on all of our endpoints at all times, in real-time. This has allowed us to find threats that other vendors would have missed. We can also use the Deep Visibility Console to perform threat hunting. For example, if a threat has been moving around our network, we can track it down to see exactly where it is moving to and how it is working.

The historical data record provided by Singularity Cloud Workload Security after an attack is good. For data retention in terms of threats, we have a one-year retention period. This is a long time, and it is very useful for our insurance policies, as we often need to comply with them. For compliance purposes, the one-year retention period is perfect for us. For visibility logs, for example, we are ingesting some logs, and I believe the retention rate is actually fourteen days.

Singularity Cloud Workload Security has reduced our MTTD. Previously, with Defender, it would sometimes fail to detect threats. Now, we detect and remediate many more threats automatically, almost instantaneously. For example, if we download a malware file, we usually cannot even open it because Singularity Cloud Workload Security detects it automatically with a super-fast response time.

Our MTTR is automatic. As soon as a threat is detected, remediation is performed automatically, according to our policy. We can even generate a report of the remediation and all affected files. This allows us to see everything and ensures that remediation is performed quickly.

Singularity Cloud Workload Security has freed up our SOC staff's time to work on other projects. Before, we were considering hiring a 24/7 SOC team, but with SentinelOne's vigilance package, they take care of almost everything for us. We no longer need an employee to monitor logs and threats 24/7.

Since we are freeing up some time from the operations side, our IT administrators and security personnel do not have to constantly monitor the console to see what is happening. Because we trust the product to take care of malware for us, our productivity has definitely increased. We only check the logs once a week.

Singularity Cloud Workload Security works well with other vendors, so we can even have two EDR solutions if we want to. The exclusions can be done through the console, which is very easy to use. It gives us a list of all the applications that we have installed on all our systems and makes it easy to create different types of exclusions. For example, we can create exclusions for performance reasons or to suppress alerts. There are a lot of options, and they are all very easy to use.

My favorite feature is Storyline. It creates a neat graph that shows us how any threat played out, in real time. We can see all the information about what was modified or changed on our system, such as files that were modified, created, or deleted, and register keys that were created or edited. For a SOC analyst, this information is super useful. We can deep dive into all the information and see exactly what happened on each computer individually.

The second feature is actually part of the SDR platform, and it provides native integrations with other security software vendors, such as Okta or Azure AD. This allows us to ingest all of our audit logs for security events and to take action on them. For example, we can set up an automation alert so that if a threat is detected on an endpoint, we can automatically take action on our Okta or AD environment, such as locking the account that was signed in or forcing a password reset.

I know that SentinelOne is working on additional integrations for their XDR platform, and I would definitely prefer more integrations. I understand that many more integrations are coming soon but by the end of the year. I would like additional integrations. Currently, we have integrations with Azure AD, Okta, Mimecast, and Netscope. Many of our clients and we also use firewalls from Cisco, Juniper, and so on. It would be helpful to be able to retrieve audit logs or actionable items from these firewalls.

I have been using Singularity Cloud Workload Security for two years.

Singularity Cloud Workload Security is stable, and we have not experienced any downtime.

The stability of Singularity Cloud Workload Security is similar to that of Microsoft Defender.

Singularity Cloud Workload Security is infinitely scalable, with a multi-tenancy feature that allows us to have multiple sites, such as physical sites. For example, if we have two locations, we can easily create admins who have access to only one site or to all sites. It scales really well, regardless of our environment.

The auto-scaling feature is user-friendly. As we install more endpoints, they will simply show up in the console, allowing us to create our own physical sites with their own admins and different policies.

My interaction with technical support was pleasant. They gave me a few tips on how to integrate the new system. They also sent me some documentation, which was already available to me, but they saved me the time of searching for it. They even offered to schedule a team call to discuss the integration and have a team member help us directly. The only downside is that the entire interaction was text-based, so it could be difficult to get a definitive answer to some questions.

We previously used Microsoft Defender, but some of our laptops were infected with malware anyway. Because of this, we had to redeploy all of our laptops. We therefore concluded that the solution was not working as well as it should in terms of detection and response so we switched to Singularity Cloud Workload Security.

Deployment was straightforward. The agent is simple to deploy, and we only need to deploy it to all of our endpoints. It is a simple installation that requires our site token. We can deploy it through group policies, Intune, or any mass deployment software. I completed the deployment myself.

We evaluated CrowdStrike, Carbon Black, and Bitdefender, and found that Singularity Cloud Workload Security had a much better remediation process. This is because Singularity Cloud Workload Security uses AI-powered detection and remediation, instead of relying on human analysts. This means that threats can be detected and remediated much faster than with traditional security solutions. Another factor that influenced our decision was pricing. SentinelOne is not too expensive compared to other providers, and it offers a wide range of integrations with other security products.

I would rate Singularity Cloud Workload Security nine out of ten.

Maintenance is minimal, requiring only occasional updates. When a major update is available, we receive an email notification. We then accept and deploy the update to all eligible endpoints through the console.

Singularity Cloud Workload Security is very easy to deploy and has one of the best detection rates among vendors. It has a very user-friendly UI that provides a high-level overview of current threats and system status, as well as the ability to drill down into analytics and threat indicators using the visibility console. It is so user-friendly that anyone can use it, regardless of their expertise level. However, for more experienced users, there is also the option to dig deeper into the data.

Singularity Cloud Workload Security helps us spend less time on threats and more time on our core competency, which is consulting work. This definitely improves our productivity and innovation.

We are using it for endpoint detection on all of our EC2 instances and hosts in the cloud. Along with it, we are also going to be using it for AV.

We do not have any EDR protection on our host. We would like to utilize it for AV to put some protection on our host. The pricing for the tool that we are using for AV has gone up, and they are not giving us a lot of things we need. Also, to use their EDR tool, we have to install a secondary agent, whereas, with SentinelOne, everything is included in the same agent.

Singularity Cloud Workload Security helps with forensics and extra protection on our host. We have not had any incidents where we had to fully use it or fully go into action with it, but we are hoping that it will provide the extra protection that we need to help resolve some blind spots that we have specifically on our hosts.

Singularity Cloud Workload Security has forensic visibility or deep visibility into the Linux kernel, but we have not used it. It is something that we will work on and use with our SOC team and the implementation team if an incident were to ever happen.

The historical data record provided by Singularity Cloud Workload Security after an attack will be useful if an incident happens. It will help us build a timeline of historical reference. It is easy to have it all in one place to build a timeline. We can see from start to finish where the incident started and where it occurred versus having to go in and do things manually by sifting through logs. The fact that SentinelOne is able to have that information or data and a single pane of glass is something that we like about the tool.

Singularity Cloud Workload Security helps to cut down the mean time to detect by having the historical reference and by being able to stop the incident with the hit of a switch. We can see from where it started, which is helpful. When you are an organization managing hundreds of accounts, it is hard to sieve through logs and get that information together, which increases our mean time to detect, whereas with SentinelOne, from the things we have seen and tested out, it seems simple and easy, and we are hoping that it will help us cut down on that time.

We are also hoping that it will reduce our mean time to remediate. We have not come across any actual incident to be able to fully know, but based on what we have seen so far in the tool, it seems it would.

Singularity Cloud Workload Security has not necessarily freed up staff to work on other projects, but it does reduce some time. It helps cut down on things. It does provide an easier capability. We have come from the old-school way of looking at logs. It seems that this tool will provide something much sleeker and easier for our SOC team to use.

Singularity Cloud Workload Security has not yet had much effect on our productivity. We have only had it for two months, but we like what we are seeing. We like implementing it. We like that it has a single agent and we can use it as AV. It seems to make things easy. It seems to be a more productive tool for us, but until we have an incident, I would not be able to say for sure. As of now, it looks like it has the capability.

Its interoperability with third-party solutions, such as Kubernetes, seems top-notch. We have integrated it with a couple of our solutions here, such as Kubernetes and containers, and we have not had any incidents or any problems to follow up or dig deep into. So far, the ability to look at our containers and to see into those clusters is something that puts Singularity above all others. With CrowdStrike or Trend Micro, we were not able to do that. We were not able to have the same visibility. SentinelOne Singularity made that easier for us.

Singularity Cloud Workload Security supports our ability to innovate from a standpoint where we know that our application teams and developers will be protected. When new applications are created, we will have some sense of security and some sense of safeguard for our teams. We did not have the visibility and the tools to protect us in the manner we would like, but with Singularity Cloud Workload Security, it looks like we can just put it on our endpoints and tell the teams to go and do as they wish because we know at least on this end, they will be protected.

From our tests and the things that we have done, we find Singularity Cloud Workload Security’s real-time threat detection and response capabilities attractive. We like the platform and its response time. We also like that its console is user-friendly as well as modern and sleek. Those are the things that are attractive to us.

We like the automated remediation feature. It is not something that we are going to use for automated remediation, but we do like the fact that it is there and can be utilized.

If I had to pick a complaint, it would be the way the hosts are listed in the tool. You have different columns separated by endpoint name, Cloud Account, and Cloud Instances ID. I wish there was something where we could change the endpoint name and not use just the IP address. We would like to have custom names or our own names for the instances. If I had a complaint, that would be it, but so far, it meets all the needs that we have.

We have been using it for two or three months. We went through a test trial, and we are finalizing the official purchase request to purchase it and start using it fully.

We have not experienced any issues so far.

We have not interacted with their support. We have only contacted our customer manager and our onboarding specialist. We have not had to submit any tickets.

We have not used any other similar solution previously.

It is a cloud deployment. I was involved in its initial setup. Its deployment was straightforward. There were a couple of questions that we had. Some of the documentation was not written in the best way. There were some hurdles when moving to the tool and understanding it, but for the most part, it was straightforward. We got all the instructions on how to deploy or install it. We were presented with a customer service rep who was an onboarding specialist. This customer service rep specialized in deployment for us, so everything was a simple setup.

We mainly did it ourselves, but we also had an integrator consultant from SentinelOne who was on the site. They answered all of our questions for anything that came up. For anything we needed, they were there to help us. We had three individuals full-time, and then we had a contractor.

In terms of maintenance, there is nothing required from the SentinelOne side. Once we onboard a lot of our hosts, we just need to organize it in a way that is easy for us, but from the SentinelOne or Singularity folks, nothing is required.

The pricing is fair. It is not inexpensive, and it is also not expensive. When managing a large organization, it is going to be costly, but it meets the business needs. In terms of what is out there on the market, it is fair and comparable to what I have seen, so I do not have any complaints about the cost.

We did evaluate other options. We tried Trend Micro Vision One. We also looked at CrowdStrike.

We went for Singularity Cloud Workload Security because it was built and made for the cloud. That was a big thing. The second big thing was that they utilize all of these different features with one agent.

The CrowdStrike solution is not built for the cloud. They have a cloud add-on, so it did not translate for us. The Trend Micro solution is somewhat built for the cloud. It is more of an on-prem tool that is moved to the cloud, but we have to utilize at least two agents to get all of the coverage, meaning AV and endpoint detection. With Singularity Cloud Workload Security, it is all covered in one agent. There is no need to put multiple agents on our host and go through that with our customers. It also allows us to place that agent using AWS Systems Manager, so the implementation in the cloud and launching of the agent is intuitive and easy. It was a no-brainer once we started looking at the tools in terms of how to implement them and what we would like in our organization. Singularity Cloud Workload Security took the top place.

It has a single agent to cover all aspects. You can save money and costs with data ingestion by using the Security DataLake from Singularity. There is also the ease of use of its console. There is also the ease of deployment by it being cloud-based. If you are looking for a tool that is perfect for cloud solutions and protects your cloud host, Singularity Cloud Workload Security would be at the top of my list.

To someone who does not think that they need a Singularity Cloud Workload Protection Platform (CWPP) because they have a continuous security monitoring (CSM) solution in place, I would recommend looking again at Singularity because there is one agent and the ease of transitioning and deploying into the cloud. Another big thing about Singularity is the holding of the data. We utilize Splunk. However, with Singularity, we do not need to ingest all the data because we can also utilize their data lake. The query or the information that we can look up at Splunk can also be looked up in Singularity, so there is no need to take all that data from Singularity and ingest it into our Splunk and increase our license. We can utilize our license and capabilities. We can just use the data lake that comes with Singularity and utilize logs in that manner. In the end, it is saving us costs when it comes to our SIEM tool ingestion, so I would recommend looking at these top aspects. It is easy in the cloud. It helps save data on your SIEM tool. It saves the ingestion costs. There is also a single agent.

I would rate Singularity Cloud Workload Security a nine out of ten.