SentinelOne Singularity Cloud Security Reviews

The company purchased SentinelOne Singularity Cloud Security primarily for container security and IoC scanning. We also were looking into image scanning for Docker components. Now, we have enabled secret scanning and the Cisco pipeline as well. 

We are mostly dealing with code-level security issues the organization might have. There are issues in TerraForm and whatever else we see in our DevOps pipeline. 

SentinelOne Singularity Cloud Security has improved the organization's Docker container security, and we can mitigate many of the issues to avoid serious vulnerabilities or attacks. We start to see these benefits within 2 or 3 months of deployment. The tool took almost a month to learn the structure of our organization and environment. After that, it started detecting issues and vulnerabilities. 

We don't get many false positives because we eliminated many of them in the early stages. SentinelOne Singularity Cloud Security can mark detections as false positives, so they won't appear in the future. 

SentinelOne Singularity Cloud Security has reduced our detection time. Before implementing SentinelOne Singularity Cloud Security, it took us around 7 or 8 hours to determine whether an issue was inside our organization. Now that we have deployed SentinelOne Singularity Cloud Security, we have an agent list running on our Docker containers, and SentinelOne Singularity Cloud Security is identifying the issues inside the Docker containers. When it scans periodically, we can detect the issues within 2 or 3 seconds. It has reduced 7 hours of work to a few seconds. 

While it hasn't reduced our remediation time on mid-level or low-level issues, it has drastically improved our remediation time for critical Docker issues and high-priority problems in our environment. We can handle them before they make it into production. 

SentinelOne Singularity Cloud Security has improved collaboration between our developers and security teams. The tool has a feature where we can send issues to developers, but it requires them to reply with recommendations.

SentinelOne Singularity Cloud Security's integration is smooth. They are highly customer-oriented, and the integration went well for us. SentinelOne Singularity Cloud Security is also responsive to our feature requests. The interface isn't difficult to understand for a layperson, and we're familiar with it. There's also built-in support, so we can get help when we have a problem. 

The evidence-based reporting is a critical feature because we can correlate to the issues in the system. We have compared it with free tools that are on the market, and SentinelOne Singularity Cloud Security gets better results. From the perspective of remediation, resources, and security, SentinelOne Singularity Cloud Security is the best option. 

The agentless vulnerability scanning has worked well for us. Removing agents from the equation takes about half the work out of it, and the agentless scan fetches the details every millisecond. SentinelOne Singularity Cloud Security's agentless mechanism is monitoring everything that happens on the system.

Proof of exploitability is an important aspect of SentinelOne Singularity Cloud Securitys evidence-based reporting. When we ask a developer to fix an issue, they ask for evidence of its exploitability and whether it's a critical issue. If SentinelOne Singularity Cloud Security didn't provide this information, we couldn't convince the developer to fix it. SentinelOne Singularity Cloud Security provides the expertise to convince the developer by finding the vulnerabilities and providing explanations.  

The infrastructure-as-code scanning helps identify container configuration issues and other problems before they go into production. We used a script, and we needed to enable everything before going to production, so we have it enabled on the production and pre-production side. We can check the issues and block them before going to production. Before it becomes publicly accessible via the internet, we want it to be safer than it was in pre-production.

I would like SentinelOne Singularity Cloud Security's detections to be openly available online instead of only accessible through their portal. Other tools have detections that are openly available without going through the tool. 

We have one feature request that we've already discussed with SentinelOne Singularity Cloud Security. We want a category feature for exceptions that developers have already accepted. We don't want SentinelOne Singularity Cloud Security to identify the issue next time because the developer has already done the risk assessment. 

We have used SentinelOne Singularity Cloud Security for nearly a year.

SentinelOne Singularity Cloud Security is stable. 

SentinelOne Singularity Cloud Security is scalable.

I rate SentinelOne Singularity Cloud Security support 9 out of 10. 

Positive

We previously worked with many open-source solutions and Prisma, one of its competitors. Ultimately, budget issues made us come back to SentinelOne Singularity Cloud Security. SentinelOne Singularity Cloud Security is a budget-friendly and user-friendly tool. A layperson can start using the system and understand it within 1 or 2 days. It also has more capabilities than the other tools.

Deploying SentinelOne Singularity Cloud Security was straightforward. It took 3 or 4 people to deploy. We are currently enrolled on 2 clouds. We had it on AWS, but now it's on GCP and Azure. It's more than 2,000 endpoints and around 2,000 APIs.

It doesn't require much maintenance because the updates are automatically happening on the cloud. When new features are released, we connect to the SentinelOne Singularity Cloud Security team to understand how it will impact our environment. 

SentinelOne Singularity Cloud Security is reasonably priced, considering the value it offers to our organization. We had a few conversations with them, and they understood our posture. Initially, they offered one amount, but we got them to offer a discount that would meet their expectations. Their customer team is excellent and understanding.

I rate SentinelOne Singularity Cloud Security 8 out of 10. SentinelOne Singularity Cloud Security will meet all your requirements if you're looking for a cloud tool that covers IoC scanning, cloud misconfiguration, secret scanning, integration into the DevOps pipeline, and cloud-image scanning. It's a one-stop solution for all these requirements. It's a user-friendly tool that's easy to handle, and the support is excellent. 

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.

Positive

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 SentinelOne Singularity Cloud Security for our AWS cloud used in my project and to check the account's vulnerabilities.

SentinelOne Singularity Cloud Security has improved our organization a lot. Before using SentinelOne Singularity Cloud Security, we had not covered many points according to vulnerabilities. We have used the solution's dashboard, which shows the criticality of issues, and we have rectified and resolved many issues according to their severity.

SentinelOne Singularity Cloud Security has a dashboard that can detect the criticality of a particular problem, whether it falls under critical, medium, or low vulnerability. If it is not a critical problem, we can try to solve it within 4-5 hours. If it's very critical, then we can take action immediately.

SentinelOne Singularity Cloud Security takes 4-5 hours to detect and highlight an issue, and that time should be reduced. Sometimes, the solution shows false alerts. The comments section has also been turned off for the last 10 to 15 days. These are the two issues I'm facing right now in SentinelOne Singularity Cloud Security.

I have been using SentinelOne Singularity Cloud Security for the last three months.

SentinelOne Singularity Cloud Security is a stable solution, and I haven’t come across any bugs or glitches.

I rate the solution an 8 out of 10 for stability.

The solution has good scalability. Around 10 users in my team use the solution.

I rate SentinelOne Singularity Cloud Security's scalability an 8-10 out of 10.

SentinelOne Singularity Cloud Security's pricing is good because it provides us with a solution.

Suppose we find a volume not attached to any EC2 instance during scanning. SentinelOne Singularity Cloud Security detects such vulnerabilities, and we try to resolve them. SentinelOne Singularity Cloud Security is an easy-to-use solution. Everybody in my team works with SentinelOne Singularity Cloud Security to monitor any vulnerabilities it detects.

SentinelOne Singularity Cloud Security is a good tool for security and vulnerability detection for me and my team. The solution is easy to use, and we are very familiar with the dashboard, which shows the criticality of particular problems. It also shows the link to a particular vulnerability or problem so that we can directly go to that particular problem.

Through the solution's dashboard, we can see problems and detect vulnerabilities. Then, we assign each problem to another and try to resolve it. In the pre production environment, we used to try a blue/green deployment. If we try to get any alerts from that particular dashboard, SentinelOne Singularity Cloud Security will detect them.

SentinelOne Singularity Cloud Security has improved our risk posture by 50% to 60%. Earlier, we couldn't identify the things created by mistake during production. If something is created by mistake or if we are unable to detect mistakes in the production environment, SentinelOne Singularity Cloud Security scans and alerts us of any vulnerabilities.

SentinelOne Singularity Cloud Security takes approximately 4-5 hours to detect an issue. We conducted a test by creating one issue, which was highlighted in the SentinelOne Singularity Cloud Security dashboard within four to five hours. The issue was still present in the SentinelOne Singularity Cloud Security scan after we resolved it, and it was removed after four to five hours.

SentinelOne Singularity Cloud Security has helped reduce our mean time to remediate, and we immediately take action on the issue. In my opinion, SentinelOne Singularity Cloud Security is really collaborative, and other teams use it at the utmost level. The solution is really helpful for us regarding system security.

SentinelOne Singularity Cloud Security has helped us save around 30% to 40% of engineering time. We just see the SentinelOne Singularity Cloud Security dashboard for issues it has detected and try to resolve them as soon as possible. SentinelOne Singularity Cloud Security has helped us save approximately 30% to 40% of our resources, time, and money.

SentinelOne Singularity Cloud Security is integrated with the AWS tool our team uses to detect vulnerabilities. SentinelOne Singularity Cloud Security is a SaaS (Software as a service) solution. We have five to six accounts on SentinelOne Singularity Cloud Security and use them in multiple locations. The solution does not require any maintenance. I would recommend the solution to other users.

Overall, I rate SentinelOne Singularity Cloud Security a 9 out of 10.

We use SentinelOne Singularity Cloud Security to identify threats and vulnerabilities in our AWS accounts and the compute resources that are hosted on those cloud accounts.

We implemented SentinelOne Singularity Cloud Security to address network-related issues, such as communication between individual components (part-to-part or node communication). SentinelOne Singularity Cloud Security's Graph Explorer feature also helped us understand the overall network landscape, including the attack surface. This feature allows us to discover and explore various components within our AWS environment. In essence, SentinelOne Singularity Cloud Security helped us identify how different networks connect and how microservices within our system interact with each other.

We've implemented SentinelOne Singularity Cloud Security across all our core companies, including acquisitions. Previously, managing separate AWS accounts for each company with dedicated DevOps and security teams was a significant challenge. SentinelOne Singularity Cloud Security helped us consolidate these accounts into a single platform, simplifying the process. Now, we can easily track key security metrics. For instance, SentinelOne Singularity Cloud Security provides frequent alerts for critical events such as publicly exposed instances or security groups with significant traffic changes from any source. Monitoring these elements across multiple accounts and security groups was previously difficult without a centralized platform. SentinelOne Singularity Cloud Security has been instrumental in streamlining this process.

We recently made some changes to our information systems. SentinelOne Singularity Cloud Security helped identify instances that were inadvertently made public. This identification is important for compliance purposes, as it allows us to track how well these public instances adhere to regulatory frameworks.

SentinelOne Singularity Cloud Security's compliance monitoring capabilities have provided us with some benefits, particularly in understanding our overall security posture. However, it's important to note that SentinelOne Singularity Cloud Security only monitors our cloud infrastructure. There might be internal deployments with compensating controls that address missing controls identified by SentinelOne Singularity Cloud Security (e.g., control X is missing but mitigated by internal control Y). These internal controls wouldn't be visible to SentinelOne Singularity Cloud Security. Therefore, while SentinelOne Singularity Cloud Security provides a valuable starting point at the surface level, manual review is necessary to ensure complete compliance coverage.

SentinelOne Singularity Cloud Security is easy to navigate. Its menus are straightforward and intuitive, making the overall user experience smooth.

One of the key benefits of the evidence-based reporting is its proof of exploitability. This feature allows us to prioritize vulnerabilities that have been demonstrably compromised and take immediate action to mitigate the risks.

The offensive security engine feature constantly scans and lets us know if any vulnerabilities in our environment can be exploited. While the offensive security engine for verifying exploit paths and prioritizing breach control is valuable, it lacks context awareness. For instance, it might flag something we intentionally made public, like a new website for an upcoming event. In those cases, we can safely ignore the alert. Overall, the engine is a useful tool. We extract the information it provides and prioritize it. A dedicated team reviews the alerts and, if necessary, escalates them to our DevOps team for further action.

By centralizing cloud infrastructure monitoring with SentinelOne Singularity Cloud Security, our security team's productivity, and MTTR have been significantly improved.

Over time SentinelOne Singularity Cloud Security has reduced the number of false positives by 40 percent.

SentinelOne Singularity Cloud Security has significantly improved our organization's risk posture. Since implementing it, we've been able to assess the risk associated with recently discovered CVEs much faster than before. This efficiency is due to the proactive identification and scanning capabilities. Now, we start each day with a clear summary of potential risks, allowing us to prioritize effectively.

SentinelOne Singularity Cloud Security has reduced our mean time to detection by 90 percent. This is because it scans every day and sends us real-time email alerts, allowing us to take immediate action.

SentinelOne Singularity Cloud Security has reduced our mean time to remediation by 40 percent.

We have a dedicated channel where we collaborate with SentinelOne Singularity Cloud Security and our internal teams.

The collaboration helped save our engineering time by 60 percent.

The user interface and ease of use have had a positive impact on our security operations. For example, we recently needed a list of assets deployed in a specific GN in a cloud account for a particular incident. We went straight to SentinelOne Singularity Cloud Security and were able to quickly obtain the assets along with a map of the security groups linked to them. The UI's simplicity helped us save significant time by eliminating the need to search for information manually.

Notifications about the latest vulnerabilities are a valuable feature. SentinelOne Singularity Cloud Security automatically updates itself with the newest threats and scans our infrastructure across all integrated data accounts for them. This is helpful because it's difficult to keep up with the volume of CVEs, especially the critical ones.

The UI is responsive and user-friendly.

There's room for improvement in the graphic explorer. We'd like something that helps us visualize traffic between different ports and containers. Currently, we can see host networking, like communication between instances or perhaps within Kubernetes. However, we're looking for a tool that can also visualize port-to-port communication and display it as a graph. This would give us a clearer picture of our network traffic and help strengthen our network security.

The dashboard currently displays CVEs, but it would be beneficial to receive proactive email notifications in addition to this.

I would also like to have runtime security in SentinelOne Singularity Cloud Security.

I have been using SentinelOne Singularity Cloud Security for 7 months.

I would rate the stability of SentinelOne Singularity Cloud Security 9 out of 10.

I would rate the scalability of SentinelOne Singularity Cloud Security 8 out of 10. We can easily add new cloud accounts.

The technical support response time is good. For feature requests, they can be a little slow.

Positive

The time invested in security operations for threat detection and monitoring has yielded a return on investment of 70 percent. We've also seen a financial benefit by avoiding the need for additional staff to monitor and correlate all database accounts individually by 40 percent. SentinelOne Singularity Cloud Security automates these tasks efficiently.

SentinelOne Singularity Cloud Security is less expensive than other options.

I would rate SentinelOne Singularity Cloud Security 8 out of 10.

We're planning to integrate SentinelOne Singularity Cloud Security with our CI/CD pipeline and Slack. Currently, our only integration is with an email system, which means we receive alerts and notifications via email. We're evaluating the effectiveness of this approach. Integrating with tools like Jira or Slack could help manage the issue of false positives and notification overload, which currently requires the manual closing of alerts. We're still assessing the best course of action, but integration with Jira is a strong possibility.

Around 15 people from our security and DevOps teams use SentinelOne Singularity Cloud Security. SentinelOne Singularity Cloud Security is a SaaS that is integrated with our main company and all our acquisitions.

SentinelOne Singularity Cloud Security does not require maintenance from our end.

I recommend SentinelOne Singularity Cloud Security to others for its cloud security capabilities. I particularly appreciate its offensive security approach. Coming from an offensive security background, I find PingSentinelOne Singularity Cloud Securityafe excels at identifying real threats that we can address immediately. This proactive approach is a major advantage of SentinelOne Singularity Cloud Security. While the defensive side might involve some assumptions and possibilities, I believe the offensive capabilities are the key reason we use SentinelOne Singularity Cloud Security.

We use SentinelOne Singularity Cloud Security as a cloud security posture management tool. SentinelOne Singularity Cloud Security is integrated with our GCP, Azure, and AWS accounts. It will identify all the misconfigurations and security issues on all these cloud platforms and alert us. In addition to the CSPM capabilities, SentinelOne Singularity Cloud Security has several other features like vulnerability management, container security, Kubernetes security posture management, and secret scanning

All of these features are bundled inside SentinelOne Singularity Cloud Security. It combines all the telemetry from the cloud, containers, and the Kubernetes platform. The vulnerability scanners are connected to the registries and give us a holistic picture of what else is vulnerable versus all the dummy data others would give.

Before SentinelOne Singularity Cloud Security, we didn't have visibility into the security aspects of our cloud environment. SentinelOne Singularity Cloud Security allows us to see all the misconfigurations and security vulnerabilities. Certain native tools from AWS are quite expensive and not as reliable, but SentinelOne Singularity Cloud Security fixes that issue. Also, for highly regulated companies, having a cloud security posture management tool is a hard requirement.

Regarding risk posture, there are two kinds of risk: perceived and actual. SentinelOne Singularity Cloud Security has helped us reduce the actual risk. Our compliance score went up from 70 percent to more than 95 percent now.

We realized SentinelOne Singularity Cloud Security's benefits maybe 1 or 2 months after the deployment. We integrated the regional module, and the extra features were there. About 6 months in, we really scaled it up. 

SentinelOne Singularity Cloud Security has helped reduce the number of false positives we deal with. They've been highly proactive. We have a Slack channel with their support team. We tell them the false positive you're seeing, and they get on a call with you in 30 minutes to solve that issue. 

The detection time is immediate. It finds vulnerabilities almost instantly, so the detection time has decreased considerably. In terms of remediation, it depends on how we are doing it. The remediation time has gone down, but not to the extent that we need it to. 

SentinelOne Singularity Cloud Security has improved cooperation between the DevOps and security teams by helping identify critical issues that must be prioritized instead of just going through and fixing each one. 

SentinelOne Singularity Cloud Security released a new security graph tool that helps us identify the root issue. Other tools give you a pass/fail type of profile on all misconfigurations, and those will run into the thousands. SentinelOne Singularity Cloud Security's graphing algorithm connects various components together and tries to identify what is severe and what is not. It can correlate various vulnerabilities and datasets to test them on the back end to pinpoint the real issue.  

For example, let's say you have a vulnerability in a public instance of AWS EC2, and there's a relationship between that instance and the Kubernetes platform. From there, Kubernetes is connected to a container with a misconfiguration or vulnerability. That attack path is the root cause of the issue in your environment. It doesn't simply tell you whether something is public. That is a feature AWS provides natively. Native AWS tools provide us binary results about whether the instance is open, but SentinelOne Singularity Cloud Security can break down the data to identify the core issues. 

SentinelOne Singularity Cloud Security is one of the easiest platforms to use. It's super intuitive. I have used CSPM tools in the past like CrowdStrike. This is much easier. With one click, you can deploy it in an hour. It automatically picks up a lot of the telemetry on its own. You don't need extra configuration steps because the scripts are all there. We can launch the cloud automation templates, and SentinelOne Singularity Cloud Security just directly deploys.

Agentless scanning is convenient for us. It will automatically copy the registry details from AWS, Azure, or GCP without any additional configuration before. If you have registries saved outside of your cloud environment, you can input the client key and secret file, and SentinelOne Singularity Cloud Security will integrate and scan it automatically. You don't need to deploy the agent because it does it on the back end. The best part is that they take this element and bring the cloud security posture management along with it. It will integrate the vulnerability scan into the containers, Kubernetes platform, and the entire cloud platform.

The offensive security engine isn't SentinelOne Singularity Cloud Security's standout feature, but it's an add-on that gives you insight into vulnerabilities in your cloud environment and how attackers can exploit them. 

We have integrated SentinelOne Singularity Cloud Security's infrastructure-as-code features into our GitHub platform, enabling us to scan all the TerraForm and Kubernetes YAML code for vulnerabilities. That is a nice feature that allows you to detect issues in your code before it is deployed. It's inside the pipeline. It will scan the code and block the deployment if it doesn't meet preset criteria.

I want SentinelOne Singularity Cloud Security to integrate additional third-party resources. For example, SentinelOne Singularity Cloud Security is compatible with Azure and AWS, but Azure AD isn't integrated with AWS. If SentinelOne Singularity Cloud Security had that ability, it would enrich the data because how users interact with our AWS environment is crucial. All the identity-related features require improvement.

I have used SentinelOne Singularity Cloud Security for a year.

I have not experienced any instability, yet. SentinelOne Singularity Cloud Security is pretty solid. 

SentinelOne Singularity Cloud Security is scalable if you have the licenses. 

I rate SentinelOne Singularity Cloud Security support 8 out of 10. From the deployment until December of last year, SentinelOne Singularity Cloud Security's support was stellar and proactive. The support hasn't been as good since SentinelOne Singularity Cloud Security was acquired by another company. It's similar to what I've seen with other acquisitions. When it was a startup, you got more personalized support. You could even get the CTO to get on the call with you, which was nice. They have room to improve, but maybe they are undergoing a transition period after the acquisition. 

Positive

We used a different solution, but the correlation wasn't as good, and it was expensive. 

Deploying SentinelOne Singularity Cloud Security is effortless because it's a cloud-based platform. It's pretty intuitive, and we had lots of support from SentinelOne Singularity Cloud Security. If we had issues, we just got them on a call, and they fixed them. SentinelOne Singularity Cloud Security requires no maintenance on our end after deployment. 

SentinelOne Singularity Cloud Security is cost-effective for the amount of infrastructure we have. It's reasonable for what they offer compared to our previous solution. It's at least 25 percent to 30 percent less. 

I rate SentinelOne Singularity Cloud Security 9 out of 10. I recommend that new users onboard as many features as possible. Don't just stick to the cloud security part. Integrate the cloud security with your containers and GitHub or Bitbucket repositories. Perform all the integrations whether you need them or not, and it will take care of everything on the back end for you.

I am working as an application developer, and SentinelOne Singularity Cloud Security plays a role in the cloud infrastructure where my application is deployed. It provides me with alerts and ensures that I follow best practices in everything.

It gives us alerts and resolutions for anything that is missing or any vulnerabilities in our infrastructure in terms of security. If we have a firewall that is missing some rules that may expose us to attacks, it lets us know. It guides us through alerts, documentation, and other things.

It is very easy to use. The dashboard is very useful for beginners.

Its evidence-based reporting helps prioritize and solve the most important cloud security issues. It can automatically fix certain vulnerabilities or inform us to fix them on priority.

It alerts us on everything at the infrastructure level. Our application is deployed in the cloud. From the load balancer to the application level, there are many points. SentinelOne Singularity Cloud Security plays an important role in terms of security. 

Before SentinelOne Singularity Cloud Security, there was nothing I used as a best practice. It gives me much clarity in my daily work. Earlier, I would look into what kind of rules I needed to add, but there was no helpful reference or documentation. SentinelOne Singularity Cloud Security highlighted those things, helping me secure my cloud infrastructure.

SentinelOne Singularity Cloud Security has reduced our false alerts by 10%. It has improved our risk posture by 25%.

SentinelOne Singularity Cloud Security reduces our mean time to remediate. Previously, it would take me around 20 minutes to understand what was happening, but SentinelOne Singularity Cloud Security gives me clarity about what I have to do a lot quicker.

The dashboard is intuitive in terms of design and functionality. Additionally, it gives me an email for all the findings that are open. I get this data every month, so I do not need to check the dashboard. 

Furthermore, at every point, it provides documentation that offers overall information on how to resolve issues, what points to check, and more. It offers a checklist, which is very helpful. 

They can add more widgets to its dashboard. A centralized dashboard with numerous metrics would improve user understanding.

I have used the solution for around two to three years.

It is stable. I would rate it a nine out of ten for stability.

It is scalable. I would rate it a nine out of ten for scalability. 

It is being used at multiple locations and regions. In my team, 14 users are there.

I would rate their support a ten out of ten.

Positive

I did not use any similar solution previously. 

We have a hybrid deployment model. The initial setup is very simple. It probably took two to three days.

Its maintenance is managed by SentinelOne. We do not have a look into maintenance.

It is a good product to get data from a security point of view. I would definitely recommend this product to others. It offers maximum security and scalability. It is easy. I can just open SentinelOne Singularity Cloud Security and get the data.

I would rate SentinelOne Singularity Cloud Security a ten out of ten.

As a financial institution, we rely on SentinelOne Singularity Cloud Security as our single source of truth for both CSVM and CWPP data. SentinelOne Singularity Cloud Security provides us with essential security benchmarks, including those for Kubernetes deployments and CSVMs. It also allows us to monitor our overall cloud security posture and identify vulnerabilities for remediation. SentinelOne Singularity Cloud Security serves as a centralized platform for all our cloud security metrics.

We rely on SentinelOne Singularity Cloud Security for all our reporting needs. It serves as a comprehensive tool for vulnerability management, ISC management, and reporting on hard-coded secrets. Additionally, it functions as a source for vulnerability identification.

The security engine provides a large vulnerability database. While it's not exhaustive, it's a valuable resource due to its significant size and well-organized data. This database allows for effective security management and vulnerability identification.

I would rate SentinelOne Singularity Cloud Security's meant time to remediation abilities a 10 out of 10.

SentinelOne Singularity Cloud Security helps the collaboration between our cloud security app developers and AppSec team.

The user interface is well-designed and easy to navigate. Our security team relies on it for several tasks. They can use it to retrieve Jira tickets and assign them to the appropriate teams for resolution. This functionality helps them identify and address vulnerabilities efficiently.

I'm not convinced that SentinelOne Singularity Cloud Security's features offer significant value for our SecOps team. While it might be useful for stakeholders and management to have a tool that aligns with business goals and provides insights, we could potentially achieve this with open-source CSPM tools. In its current state, I don't see SentinelOne Singularity Cloud Security directly addressing our specific needs.

While agentless vulnerability scanning is a positive feature, SentinelOne Singularity Cloud Security lacks the ability to effectively group and customize the provided metrics. This creates a significant limitation, as we cannot easily create the specific metrics that are most useful for our needs. For example, if we want to group a specific set of metrics by a particular label or namespace, there is no straightforward way to do so within SentinelOne Singularity Cloud Security. The UI offers visualizations for the provided metrics, but it lacks the functionality to segregate and customize them. This inability to create user-defined metrics is a major drawback of SentinelOne Singularity Cloud Security.

SentinelOne Singularity Cloud Security helped reduce the number of false positives in the previous version of SentinelOne Singularity Cloud Security 1.0. Users reported a high volume of false positives with the newer version, and it wasn't clear how SentinelOne Singularity Cloud Security 2.0 would address this issue. Additionally, users have to manually mute many false positives in SentinelOne Singularity Cloud Security 2.0, which is a significant drawback.

I would rate SentinelOne Singularity Cloud Security's mean time to detect ability a 6 out of 10.

While Cloud Security Posture Management tools offer valuable functionality, selling a product solely based on open-source CSPM solutions can be challenging. To differentiate themselves, SentinelOne Singularity Cloud Security should focus on two key areas: security and workload protection within the CI/CD pipeline. Firstly, SentinelOne Singularity Cloud Security needs to provide robust security features beyond basic CSPM capabilities. This could involve advanced threat detection and mitigation functionalities. Secondly, workload protection within the CI/CD pipeline is crucial. Here, SentinelOne Singularity Cloud Security should offer insightful metrics that are well-organized and allow for user customization. This means providing granular control over metric segmentation. Users should be able to define their own metrics and choose how they want them aggregated. Ideally, SentinelOne Singularity Cloud Security should allow users to import custom metrics and create custom segregations based on their specific needs, such as namespaces or custom levels. For example, if SentinelOne Singularity Cloud Security gathers metrics from Kubernetes clusters, users should be able to define their own metrics alongside the pre-defined ones and organize them into relevant categories. This level of customization allows stakeholders to focus on the metrics that matter most to them, potentially reducing the overwhelming volume of data from thousands of records to a more manageable set of hundreds. In conclusion, SentinelOne Singularity Cloud Security should prioritize UI improvements and offer advanced data segregation capabilities to truly stand out in the marketplace. This will empower users to tailor their security posture management experience to their specific needs.

SentinelOne Singularity Cloud Security's current documentation could be improved to better assist customers during the cluster onboarding process. Providing comprehensive documentation with clear and abundant examples would greatly enhance the user experience for new customers. This would empower them to set up their clusters efficiently and effectively.  

I have been using SentinelOne Singularity Cloud Security for 1.5 years.

SentinelOne Singularity Cloud Security seems to be stable, with no reported crashes. However, there's also not a lot of traffic going through the service. It's unclear exactly what SentinelOne Singularity Cloud Security does internally.

There aren't many users who actively add technical details to run SentinelOne Singularity Cloud Security's tools. Additionally, it seems we don't actively incorporate new features. Ideally, clients should share proper answer keys so we can identify if their app crashes.

If we could onboard more users, we could potentially gain access to more resources. However, a recurring issue is missing data. Clients sometimes provide extensions, but clicking on them reveals no information. This lack of data is a significant drawback, even though the system itself seems stable.

SentinelOne Singularity Cloud Security is scalable and supports multiple tenancies with no drawbacks.

As a mature organization, we expect a higher level of service from our technical support providers. Unfortunately, we've found that the responses from SentinelOne Singularity Cloud Security's technical support team have been repetitive and not particularly helpful, especially considering the cost of their services. 

Neutral

The initial deployment is straightforward.

It doesn't take more than 30 minutes to deploy SentinelOne Singularity Cloud Security into an organization using any cloud platform.

One person can complete the deployment. 

SentinelOne Singularity Cloud Security's primary advantage is its ability to consolidate multiple tools into a single user interface, but, beyond this convenience, it may not offer significant additional benefits to justify its price.

I would rate SentinelOne Singularity Cloud Security 5 out of 10.

Our organization primarily relies on our internal scanning tool for IaC security. While many industry tools utilize open-source IaC scanning solutions under the hood, we haven't found significant value in adopting SentinelOne Singularity Cloud Security's specific IaC offering. This solution might be more beneficial for organizations lacking dedicated SecOps teams, but its additional cost is a factor to consider.

It should transition from an agent-based system to an agentless one. This is crucial because many industry tools are moving in this direction, and SentinelOne Singularity Cloud Security should follow suit. They should also introduce more features, improve security compliance, and place greater focus on Kubernetes, RBAC systems, and visualization. If they do choose to maintain an agent-based system, they should significantly improve their metric collection capabilities. This would be beneficial because currently, customer response times seem to be slow. By addressing these requirements, SentinelOne Singularity Cloud Security can ensure continued growth.

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.

Positive

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.