Overview
Detect and Block an Attack in Under 1 Minute
Detect and Block an Attack in Under 1 Minute
Cloud Native Security Overview
Block attacks and secure your entire cloud environment with SentinelOne Singularity Cloud Security, a comprehensive, AI-powered Cloud-Native Application Protection Platform (CNAPP). Our platform provides deep visibility and robust security from build time to runtime, with all security findings natively integrated into the Singularity Data Lake for investigation and custom detection. Safeguard your AWS cloud infrastructure and workloads against modern threats with our unified, real-time protection.
Our Comprehensive AI-Powered CNAPP is comprised of three key products designed to secure your entire cloud stack:
- Our agentless Cloud Native Security provides proactive exposure management capabilities that prevent attackers from gaining a foothold in your AWS environment with:
Offensive Security Engine: Reduce your cloud attack surface by simulating external exploits to produce Verified Exploit Paths to prioritize the expsoures that are truly reachable by an outside attacker.
Cloud Security Posture Management (CSPM): Continuously monitor and manage the security of your AWS configurations to prevent public exposure and ensure compliance.
Secrets Scanning: Identify more than 750 types of secrets across public and private repositories.
Cloud Infrastructure Entitlements Management (CIEM): Detect and manage excessive or unused permissions to mitigate the risk of privilege escalation.
Infrastructure as Code (IaC) Scanning: Scan and secure your IaC templates and images, including secrets and vulnerabilities, before deployment.
Cloud Detection and Response: Leverage our AI SIEM and forensics capabilities for advanced threat hunting and rapid incident response across your cloud.
- Cloud Workload Security is a real-time, AI-powered Cloud Workload Protection Platform (CWPP) for servers, virtual machines (VMs), and containers across public and private clouds. Built for the modern cloud, it helps you:
Detect and Stop Threats: Automatically stop runtime threats like ransomware, zero-days, and fileless attacks in real time without performance impact.
Accelerate Threat Hunting: Gather forensic data and telemetry for deep, comprehensive threat hunting and analysis.
Ensure Stability: Experience unmatched stability and performance without kernel panics, thanks to our lightweight, patented agent.
- Cloud Data Security provides AI-powered malware detection for cloud object storage, including Amazon S3 and file storage services like Amazon FSxN and NetApp. This product ensures that your data is always protected:
Real-Time Scanning: Detect malware, including zero-days, in milliseconds with scanning done directly in your own cloud environment.
Automated Action: Take immediate, automated action against threats, including quarantine and encryption.
AI Model Protection: Safeguard your AI models and pipelines deployed on services like Amazon SageMaker and Amazon Bedrock with our AI Security Posture Management (AISPM).
Additional SentinelOne integrations with AWS Services:
AWS CloudTrail: SentinelOne ingests AWS CloudTrial activity logs to identify and remediate cloud misconfigurations. By analyzing API and resource changes in real time, SentinelOne uncovers suspicious behaviors like unauthorized IAM change that create security gaps.
AWS Security Hub: Consolidates SentinelOne's deep security findings and context into AWS Security Hub for a single pane of glass and automated, high-fidelity response.
AWS Config: Uses AWS Config data to provide continuous compliance monitoring, track configuration changes over time, and ensure your cloud assets remain secure and auditable.
Amazon GuardDuty: Enriches Amazon GuardDuty's network and account-level threat detections with SentinelOne's detailed workload telemetry for more accurate correlation and faster threat hunting.
Get started
Verify exploitable risk and stop runtime threats with the most comprehensive and integrated CNAPP solution today. Simply click on the Request private offer button on this page to begin your procurement process.
Highlights
- Unified Visibility: Powered by Singularity Data Lake and Purple AI, customers can have a complete view of their security issues across endpoint, identity, and cloud
- Attacker's Mindset: Prioritize cloud health and remediation with evidence-based Verified Exploit Paths™ from code to multi-cloud environments.
- AI-Powered Threat Detection and Protection: Secure cloud and container workloads with real-time protection and forensic visibility.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Trust Center
Buyer guide

Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/12 months |
|---|---|---|
Pricing available upon request. | Contact SentinelOne for custom pricing. | $20,000.00 |
Vendor refund policy
No refunds are available for this solution.
Custom pricing options
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Support is available for this solution. For custom pricing contact sales@sentinelone.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Customer reviews
Cloud posture has improved and security team gains instant visibility into misconfigurations
What is our primary use case?
I am currently using the cloud security posture management capabilities. We are managing multiple cloud platforms, including AWS , Azure , and GCP. I need a consolidated security posture management across all of my cloud platforms.
We are managing multiple cloud workload profiles. For example, someone has mistakenly configured 0.0.0.0 access, and some misconfiguration has occurred. I want to get that update immediately, otherwise people may use that flaw and attack us. This misconfiguration detection will help us in eliminating missed configurations or configurations that our people have mistakenly implemented. That is my major use case. Additionally, I will get the consolidated asset inventory. These three purposes are what I am using Cloud Security Posture Management for.
What is most valuable?
The offensive security particular solution works by going through logs and seeing the logs on everything. It will provide complete visibility related to false positive and true positive information. That provides more visibility on the technical front. For example, if you are creating a use case on a SIM and that particular use case is not matching your end-to-end information related to our environment, it will not throw the alert. If you implement the offensive security, it will straight away point out that particular issue in that incident because the alert was triggered by that event.
Secret scanning is our automated scanning. We do not want to do the manual effort, and we do not want to create any automation during production. The moment you do this, the secret scanning will work because it is runtime scanning.
What needs improvement?
Mean time to detection and mean time to respond is a critical aspect. Most of the incidents sometimes will not be detected if you are not configured properly. The MTTR is very important. That is the reason we have mentioned that to eliminate the misconfiguration part, we need Cloud Security Posture Management. Because if someone has created an account opening 0.0.0.0, and then someone has opened the 'all all' access in the cloud instance itself, then anybody can come and penetrate my cloud workload and destroy it. In that scenario, I want to get a proper, proactive approach. The moment someone has made a mistake, I have to immediately respond. Then only can I protect. To eliminate the manual mistake and misconfiguration, this particular tool does the immediate alert so that we can prevent our cloud workloads based on the priority and based on the alert triggers. We can eliminate the alerts and incidents.
There is one concern related to SentinelOne Singularity Cloud Security platform. They claim it as an AI-based integration that will provide runtime protection. The moment it comes to the runtime protection, if someone is using an existing tool, this particular tool does not scan because we need to achieve it. For example, I have a CrowdStrike EDR in my console, on my VM, I have it installed. This particular runtime also has to be protected. Most of the runtime protection has to be implemented in a proper manner. For that reason, we are doing the scanning on an immediate basis. The first time, this particular runtime protection is not working. For example, I am trying that for the first time, and it is not getting the protection part. It is not working. If I try that particular trial again, only after that is it getting one more runtime protection. It is detection, and then it is getting the protection also.
For how long have I used the solution?
What do I think about the stability of the solution?
What do I think about the scalability of the solution?
How are customer service and support?
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
What was our ROI?
What other advice do I have?
Centralized threat insight has improved frontline detection but support still needs faster, clearer help
What is our primary use case?
As a cyber security analyst, my main use case for SentinelOne Singularity Cloud Security is front line support. I use SentinelOne Singularity Cloud Security in my daily work for detection through our endpoints for any ingress on our clients.
What is most valuable?
The best features SentinelOne Singularity Cloud Security offers include the data lake where I can ingest data from all other applications that I use into one central location, making managing alerts much easier and more responsive.
SentinelOne Singularity Cloud Security has positively impacted our organization as it allows us to be more proactive on the alerts that we get and any threats that we receive. The data lake feature helps me day-to-day by ingesting all the information from Darktrace and Defender into one single point of reference, which makes it easier to locate information.
Being able to get information from one central source helps to streamline processes and security in my daily workflow.
What needs improvement?
I find the platform somewhat clunky at times, and SentinelOne Singularity Cloud Security does not always give me accurate data, which could also be due to fine tuning on our end.
SentinelOne Singularity Cloud Security needs to be more reliable for the information it is pulling, as I am not always confident that the data coming through is accurate and immediate. We have had a few issues with the configuration setup at our location, which will be resolved; however, some of the configurations have taken a long time to resolve, and the back and forth with support has been frustrating.
Regarding needed improvements, support can be more proactive, faster in responsiveness, and come back with workable solutions rather than just steering me back to online knowledge bases all the time.
For how long have I used the solution?
I have been using SentinelOne Singularity Cloud Security for about 18 months.
What do I think about the stability of the solution?
SentinelOne Singularity Cloud Security appears to be stable at the moment.
What do I think about the scalability of the solution?
I am not really sure how the scalability of SentinelOne Singularity Cloud Security plays out in our current position.
How are customer service and support?
The customer support for SentinelOne Singularity Cloud Security is about a 5 out of 10, and I think they need to be more interactive with their clients rather than just steering clients back to knowledge bases.
SentinelOne Singularity Cloud Security's unified platform experience has helped streamline our security operations, as it has definitely allowed us to get more accurate information faster.
How would you rate customer service and support?
Positive
What other advice do I have?
For others looking into using SentinelOne Singularity Cloud Security, I would definitely recommend it as worth a look for your current environment to see whether it would have a place, and also compare it against other products out there.
My only other thought about SentinelOne Singularity Cloud Security is that support needs to be enhanced with their clients, requiring more interaction with their customer base rather than online pushing clients to knowledge bases all the time.
I gave this review a rating of 6 out of 10.
Cloud security has strengthened daily threat detection and protects sensitive code secrets
What is our primary use case?
I use cloud security in cybersecurity, where it plays one of the major roles in my career. Things that cannot be safeguarded in a normal environment are what I have been utilizing, such as information that one person can trust.
Therefore, I must say that cloud security is one of my major architectures that I am using in my day-to-day work environment.
What is most valuable?
What I appreciate the most about it is its high performance and the way it simplifies tasks, along with the optimization as well.
The Secret Scanning feature in SentinelOne Singularity Cloud Security is one of the coolest features I have ever worked with, as it primarily functions through its Singularity Cloud Native Security. It is designed to find any kind of sensitive data that developers accidentally leave in their code, which leads to major causes of cloud breaches. The Secret Scanning feature offers a wide scope of coverage, as it does not only look for passwords; it is designed to detect over 800 types of secrets, including API keys, and the tool itself scans across the entire development life cycle to catch any kind of secrets before they reach production.
When it comes to Drift Detection in SentinelOne Singularity Cloud Security , I think it is one of the critical features within its application protection platform. Its configuration mainly focuses on infrastructure as code versus the actual live environment. The coolest feature is that it detects when someone manually tries to change a setting in the cloud console that was not in the original code, and it also has a binary drift option for containers and Kubernetes .
What needs improvement?
Regarding the downsides of cloud security, I do not have much negative to discuss about cloud security, because it is one of the helpful features that I work on in my daily life. However, I would say one drawback is that data breaches can easily happen in cloud security, and it has some limited visibility. That is also one of the drawbacks I would mention, and in my team, some people are telling me that we are facing some compliance issues in cloud security as well.
When I discuss the easily happening data breaches in cloud security, it is all stored in the cloud environment, so anyone who has access to cloud can easily breach the data. It is also easily vulnerable to theft through breaches or any kind of malware or accidental exposures. I would say that attacking cloud storage is quite easy compared to other things.
For how long have I used the solution?
I have been using it in my career for around 4.10 years.
What do I think about the stability of the solution?
I can say that there is nothing unstable about SentinelOne Singularity Cloud Security, as there is no lagging, crashing, or downtime.
What do I think about the scalability of the solution?
I would rate the scalability of SentinelOne Singularity Cloud Security as high, as it operates in a cloud-native architecture that is highly scalable for any kind of organization, ranging from small businesses to global enterprises with thousands of devices.
How are customer service and support?
I have not contacted any technical support for SentinelOne Singularity Cloud Security so far.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
How was the initial setup?
I would say that the initial deployment for SentinelOne Singularity Cloud Security is really easy compared to other things in cloud computing, especially with public platform models.
When I deployed it for the first time, it took me around an hour or less, but sometimes, due to its complexity, it may take a day.
What about the implementation team?
When it comes to the number of people required for deployment, technically speaking, a single person can deploy the cloud environment, but the number of people involved depends entirely on the scale of my organization. So, while it is possible to deploy a cloud environment with a single person, it also depends on the organization.
What's my experience with pricing, setup cost, and licensing?
Regarding the pricing for SentinelOne Singularity Cloud Security, I do not think it is something I can compare.
Which other solutions did I evaluate?
When I compare them, I prefer Akamai more.
The reason I prefer Akamai more is that Akamai is the best. Both have excellent performance, but Akamai offers strong performance in terms of security. Furthermore, it efficiently manages unwanted bots, making Akamai the best compared to cloud security or any other software out there.
What other advice do I have?
Regarding how SentinelOne Singularity Cloud Security Runtime Protection compares to Akamai in terms of adaptability to new and unknown threats, it depends on what you are protecting. I do not think I can compare them while they overlap in cloud security, as they both perform different roles in the cyber stack. For SentinelOne Singularity Cloud Security, its priority is to secure the endpoint, while for Akamai, its main primary task is to protect network and application security. I would rate this review overall as a 9.
Cloud security has improved as I gain unified visibility and detect misconfigurations across platforms
What is our primary use case?
I have worked on two use cases for this product regarding its major purposes. One is that end-users want to check posts in their multi-cloud environment, where they have AWS , Azure , and Google Cloud . They were asking for multiple security checks based on compliances across each platform, as AWS has its own compliance checks and Azure has its own compliance checks, but they needed to verify if configurations comply with standards such as NIST or MITRE. That was the major concern for the team. They have many compliances because they were operating projects around the world, so they had to comply with GDPR, HIPAA, and CERT-In, and in Australia they also have some projects with additional compliance requirements. For that reason, they looked for this product, and I was able to analyze all their environments. I was able to integrate their AWS accounts, Azure accounts, and Google accounts to SentinelOne Singularity Cloud Security . I was able to showcase how it provides security ratings of each instance or each container. I was also able to showcase misconfigurations, such as instances where a particular configuration was given on a temporary basis but was not removed afterward. I was able to identify these issues and make them aware of them. I was also able to provide fixes and references to fixes using SentinelOne Singularity Cloud Security .
What is most valuable?
The biggest benefit of SentinelOne Singularity Cloud Security is that it has a good AI-based analytics engine that helps with the detection part by providing full visibility. I was able to see all the configurations that were made, all the permissions that were being given on IAM roles, user role-based access, and everything in SentinelOne Singularity Cloud Security on a granular basis and across multiple cloud environments.
From the customer and end-user point of view, they were able to have visibility throughout their cloud infrastructures, whether on AWS, Azure, or GCP. They were able to get complete visibility and identify the loopholes present in their cloud infrastructure solutions.
What needs improvement?
Regarding built-in integrations in the product, the integration part can be improved by having more third-party vendors because SentinelOne Singularity Cloud Security is much more focused on premium vendors and premium OEMs. Most customers will be using common platform vendors, but some will be using customized solutions or SMB-level customers may be utilizing custom or new vendors. If possible, they can improve their API integrations with all other platforms. To provide a small example, in the South or APEX region, SonicWall is one of the key players in providing network security, but SentinelOne Singularity Cloud Security does not have any integrations for SonicWall. Also, with Zoho, there is not much of an integration part that the end-user would expect.
The main improvement needed is the integration part with other third-party vendors. Also, they can support multiple platforms and provide support for multiple platforms in terms of features.
Response time can be improved because not all things are perfect in every product, whether CrowdStrike or Trend Micro. In some cases, I have felt that the response time could have been better. Regarding response to an attack or incident, in most cases, SentinelOne Singularity Cloud Security has helped me and has also provided a good reactive approach. Even if the endpoint gets compromised, there is rollback functionality. If it provides rollback, it would be able to provide the rollback functionality based on other platforms, such as Linux and Mac platforms. This would allow me to achieve something that no other competitive product is giving. Regarding response time, it can be improved.
For how long have I used the solution?
I have been working with SentinelOne Singularity Cloud Security for the past one and a half years.
How are customer service and support?
I would say support is excellent. I would give them a rating of 9.5 to 10 because they are providing prompt support, and in my experience, I have never encountered a junior person or someone without knowledge coming into support from SentinelOne. In the support part, they are doing a great job.
How would you rate customer service and support?
Positive
How was the initial setup?
It needs some time to install. For the complexity, I would give around six or seven on a scale of ten, where ten is more complex and zero is simple.
Which other solutions did I evaluate?
In some cases, SentinelOne Singularity Cloud Security is better than Trend Micro. In detection and visibility control, it is much better than both Trend Micro and Fortinet. Fortinet is just now evolving and has entered the market, but I do not see many references for this particular CNAPP solution.
What other advice do I have?
From the customer and end-user point of view, they were able to have visibility throughout their cloud infrastructures, whether on AWS, Azure, or GCP. They were able to get complete visibility and identify the loopholes present in their cloud infrastructure solutions. My overall rating for this product is eight out of ten.