SentinelOne Singularity Cloud Security Reviews

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.

As a senior IT security director, I oversee the governance and guidance of security deployments, including the development and implementation of use cases. My primary guiding principle, which is shared by my team, is to prioritize visibility. This translates into our use of SentinelOne Singularity Cloud Security to gain comprehensive visibility across our hybrid infrastructure including cloud, on-premises, and end-user workstations. Ultimately, visibility is the main driver of our security strategy.

Singularity Cloud Security significantly reduced our organization's threat detection time by providing immediate data visibility. This allows our team to analyze telemetry in real-time, query it, and identify anomalies or potential threats using the Singularity platform. We can create rules that automatically trigger alerts based on this real-time data, enabling immediate response. This instant threat detection and response capability is a major improvement over our previous reliance on multiple tools with delayed data flows. Singularity Cloud Security eliminates those delays, saving valuable time in incident response scenarios.

MTTR and MTTD are critical metrics for incident response processes. They measure the time it takes to fully address an incident, from initial detection to complete remediation. Minimizing these times is crucial to limit damage, as attackers can quickly exploit vulnerabilities and compromise additional systems. Rapid detection and response are essential to disrupt attackers and prevent further progression within the attack chain.

Singularity Cloud helps reduce false positives by allowing engineers direct access to data. This access enables querying, validation, and the creation of correlation searches for improved data analysis. Instead of a black box approach, Singularity provides full visibility into the code and syntax used, increasing confidence in the results. Ultimately, Singularity offers greater control over correlation searches, detection rules, and response scenarios due to the enhanced engagement and control it provides.

Singularity's ability to create custom correlation searches significantly reduces noise by avoiding reliance on generic, pre-built searches that often lead to false positives in diverse organizational environments. This targeted approach results in a high positive rate and efficacy, allowing for focused detection and response. By designing and running custom searches, Singularity minimizes the need to sift through irrelevant alerts, unlike systems using default rules that inundate analysts with noise. This translates to a very low noise-to-efficacy ratio, enabling efficient and accurate incident response.

Singularity Cloud offers valuable data and capabilities extending beyond security, benefiting various business units. For example, it helped troubleshoot a newly introduced service with limited telemetry. My team created custom correlation searches to track specific event types, confirming the software's functionality. This success garnered positive feedback throughout the company, reaching even the CIO and CSR, as it enabled the business to showcase the software's effectiveness in a way that was previously impossible.

SentinelOne improves our regulatory compliance by fulfilling the endpoint detection and response requirements of various frameworks. Many federal regulations require businesses to meet specific security standards, including those related to endpoint, identity, and cloud security. SentinelOne enables us to meet these requirements and assure potential partners that we have a robust security posture. This strengthens our partnerships and streamlines procurement processes, demonstrating how SentinelOne contributes to our compliance efforts.

SentinelOne's evidence-based reporting, particularly the CNS reports, fosters trust due to the transparency of the data source and the ability to understand the underlying mechanisms. Knowing the search criteria, data types, and information gathering process, especially when customized for detection engineering, creates confidence in the product and the relationship with SentinelOne. This transparency and customization allow users to delve into the mechanics of the reporting, understand its functionality, and ultimately trust the evidence provided.

AI is a crucial consideration for security strategies. While some view AI as a potential replacement for human analysts, others see it as a powerful tool to enhance their capabilities. The latter approach emphasizes AI's ability to accelerate incident response, improve threat detection, and provide valuable insights to analysts. This perspective suggests that AI should be used to augment human expertise, enabling analysts to make faster and more informed decisions, particularly in prioritizing threats and developing a sixth sense for identifying malicious activity. By integrating AI as an enabler, organizations can empower their security teams to become more efficient and effective, ultimately strengthening their overall security posture.

Singularity Cloud's ability to create custom correlation searches and reduce noise is highly valuable. It allows us to focus on specific detections with high efficacy, avoiding the noise typical with default rules, thus enhancing our incident response efficiency. Additionally, the engineer engagement enables us to have full visibility into the code and design effective correlation searches and detection rules.

While the future roadmap presented by SentinelOne appears promising, I hope the envisioned advancements are realistically achievable and that the gap between current offerings and long-term goals is not too significant. If SentinelOne can deliver on its vision, it will be truly impressive, and we will continue to support its efforts.

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

Singularity Cloud has been stable over the course of our usage.

We have not faced issues with scalability and find the solution flexible enough to accommodate our dynamic environments.

SentinelOne has consistently provided excellent support. While there were some initial challenges when we first partnered with them four years ago, these were resolved over time with continued effort and communication. As with any relationship, investment leads to strong, positive outcomes, and we have maintained a great working relationship with SentinelOne ever since.

Positive

Prior to SentinelOne, we did not use an EDR vendor. Four years ago, ransomware became increasingly prevalent, transitioning from a niche topic in IT news to a major concern covered by prominent media outlets like CNN and the Wall Street Journal. This heightened awareness led to increased pressure from company leadership, demanding strategies to mitigate the risk of ransomware attacks. Consequently, we sought an EDR solution to bolster our security posture. SentinelOne was selected over two competitors due to its superior detection capabilities, customization options, and competitive pricing, all critical factors considering our budgetary constraints. In retrospect, I believe we made the correct decision.

The initial setup was straightforward and well-supported by SentinelOne.

We implemented the solution with the help of SentinelOne's support and engineering team.

By significantly reducing incident response time and false positives, the ROI has been evident in terms of optimizing our security operations and minimizing risks.

The licensing is easy to understand and implement, with some flexibility to accommodate dynamic environments. The combination of pricing and the ability to customize detection rules was a key factor in selecting SentinelOne.

We evaluated two other competitors before choosing SentinelOne based on detection capabilities, customization opportunities, and competitive pricing.

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

Currently, our cloud workload protection system is deployed for visibility only, without blocking capabilities or enforced policies. While we are not yet utilizing its full protection potential, this proactive approach allows our development, IT, and quality teams to gradually transition to containerized workloads over the next few years. SentinelOne's cloud workload protection tools provide the necessary functionality to secure our environment as teams adopt modern serverless methodologies. Although full implementation is an ongoing effort, having these tools in place ensures we can confidently secure our evolving infrastructure.

We've thoroughly enjoyed our four-year partnership with SentinelOne. Their account management and readily available engineering support have been exemplary, setting a high standard for customer service. While escalations can sometimes experience delays, their responsiveness has been the best we've encountered. The entire organization, from account managers and engineers to the managed detection response service, operates cohesively.

Cloud security is challenging, especially in multi-cloud environments, but as we use a single cloud provider, we leverage native security tools for detection and visibility. While we initially considered cloud-native protection unnecessary, we realized the limitations of relying solely on our provider's knowledge and visibility. Their data is inherently limited by their own experience. SentinelOne, with its global customer base across various cloud providers, offers broader threat intelligence. Learning from attacks across all cloud platforms, like Amazon, Azure, and Google, is crucial for a comprehensive security posture. By partnering with SentinelOne, we gain access to this wider threat landscape and benefit from a learned security environment.

Our organization relies on Azure services. A key advantage of SentinelOne is its ability to serve customers across various data centers, including those hosted by Azure and Amazon.

I recommend colleagues and professionals in information security give SentinelOne a try, as they will quickly see the benefits, especially if not working with modern cloud-based solutions. SentinelOne's capabilities in visibility and detection make it a valuable addition to any security strategy.

SentinelOne's openness to customer feedback is impressive. I've served on other customer advisory boards, even for competitors, but SentinelOne stands out. They actively involve customers in shaping their products, including the user interface, detection rules, and Singularity AI Cloud components. This customer-centric approach fosters a mutually beneficial relationship where customer feedback directly enhances the security solutions. I encourage all SentinelOne customers to explore opportunities like beta testing, advisory boards, or UX feedback programs. The company's success translates to improved security for organizations like mine, and the close collaboration builds a strong, valuable partnership. Seeing our feedback implemented in their products is truly remarkable.

We use SentinelOne Singularity Cloud Security for cloud security posture management. It's used for AWS use cases to prevent leaked credentials and unauthorized access to our S3 buckets. 

Before SentinelOne Singularity Cloud Security, we couldn't identify all of the hidden vulnerabilities on the endpoints. A manual approach was insufficient because we weren't getting everything. We were catching about 40 percent of the issues, and now it's up to almost 99 percent. 

SentinelOne Singularity Cloud Security provides email alerts and ranks issues based on severity, such as high, critical, etc., that help us prioritize issues. SentinelOne Singularity Cloud Security's vulnerability scanning works well. 

The reporting works well, but sometimes the severity classifications are inaccurate. Sometimes, it flags an issue as high-impact, but it should be a lower severity. For example, it might highlight an exposed AWS encryption key, a critical compliance issue, but it isn't tagged as a high-risk problem. That only happens about 10 percent of the time. It shows a true positive 80-90 percent of the time. 

I have used SentinelOne Singularity Cloud Security for six months.

We haven't had any problems with SentinelOne Singularity Cloud Security's stability. 

SentinelOne Singularity Cloud Security is more scalable than Qualys. 

I rate SentinelOne Singularity Cloud Security support eight out of 10. They are very knowledgeable and supportive. 

Positive

We previously used Qualys but switched to SentinelOne Singularity Cloud Security because it's easier to use. It's also more scalable and flexible. We don't need to install an agent. 

SentinelOne Singularity Cloud Security is a hybrid deployment. The initial setup was easy. We had a consultant. 

SentinelOne Singularity Cloud Security is priced in the middle. It's better than Qualys. 

I rate SentinelOne Singularity Cloud Security 10 out of 10. 

I use SentinelOne Singularity Cloud Security for security purposes. It is deployed in my cloud infrastructure, providing me with a main dashboard that allows me to monitor my infrastructure. It helps identify vulnerabilities, ransomware attacks, and other threats. Essentially, I use it to enhance security.

By implementing this solution, we wanted to prevent ransomware and DDoS attacks and have 24/7 threat monitoring of our infrastructure.

SentinelOne Singularity Cloud Security has helped us implement effective security measures to reduce risk. It has also had an impact on key performance indicators, security metrics, the false positive rate, the mean time to detect, and the mean time to respond.

Before SentinelOne Singularity Cloud Security, we had to use AWS services like GuardDuty and CloudTrail, or WAF in AWS. We had a console, but there was no alerting system. SentinelOne Singularity Cloud Security collects all the information from GuardDuty, CloudTrail, WAF, and other AWS services and organizes security insights into a single, comprehensive dashboard. It also provides us with the best practices and documentation to resolve issues.

We were able to realize its benefits immediately. It has reduced false positives by 30% to 40%.

SentinelOne Singularity Cloud Security is a trustworthy product. Since its implementation, I have confidence in the security of our infrastructure. It detects everything. I have a good overview of our infrastructure.

SentinelOne Singularity Cloud Security has reduced our mean time to detect by 40% to 50%. It has reduced our mean time to remediate by 60%.

The most valuable feature of SentinelOne Singularity Cloud Security is its advanced AI and machine learning capabilities, which allow it to identify and respond to threats in real time. 

Furthermore, the user interface is intuitive, making it easy to understand even for those unfamiliar with cloud technology. This ease of use extends across the dashboard and overall user experience.

For SentinelOne, improvements could be made in managing Internet dependency as cloud-based operations can pose challenges in environments with limited connectivity. 

Additionally, integration with certain third-party tools or legacy systems might require extra effort. 

Its features may be overwhelming for smaller organizations with less complex security needs.

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

I would rate the stability an eight out of ten. Sometimes, I feel the dashboard is a bit laggy.

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

We have multiple locations and departments. In my team, there are about 22 users working with this solution from different locations.

The technical support is highly knowledgeable and reliable in security matters. I would rate their support a nine out of ten.

Positive

Before using SentinelOne, I used AWS-managed security tools like WAF and GuardDuty. I find SentinelOne superior due to its real-time detection and mean time to remediate threats.

Its deployment was easy. We had the SentinelOne team on the call, making the process smooth and easy. It took us about three days.

I do not have to do any maintenance. The maintenance is taken care of by SentinelOne. When there are any maintenance activities, they send us an email about the time. They usually have maintenance activities on a quarterly basis.

SentinelOne's team assisted us during the deployment. We had seven people involved.

Using SentinelOne has saved me both time and money. Before its deployment, it took one to two hours to detect or resolve issues, whereas now, it only takes ten to twenty minutes.

SentinelOne is relatively cheap. If ten is the most expensive, I would rate it a seven.

I would definitely recommend SentinelOne Singularity Cloud Security for infrastructure security. I would rate the solution a ten out of ten.

Singularity Cloud Security helps my organization achieve its goals by providing protection and cloud security posture management for our AWS organization. It offers detailed visibility into any misconfigurations, threats, or other items that come through from the AWS services, and enables my engineers to easily find and get information on how to triage those items.

SentinelOne has enabled us to identify and address misconfigurations more efficiently by streamlining the research and remediation process.

Singularity Cloud Security has significantly improved our risk management by providing clear visualization of threats, validating their severity, and prioritizing them. This allows us to efficiently allocate resources, strengthen our security posture, and minimize risk.

Cloud security has significantly reduced irrelevant alerts by effectively analyzing potential threats and determining their validity, a capability unmatched by any other product we've used.

Singularity Cloud Security has significantly reduced false positives by filtering out thousands of alerts triggered by offensive security tests and application configuration validation, resulting in a more manageable number of alerts requiring attention.

Singularity Cloud Security has improved incident response by integrating directly with our notification and task management services. This allows us to receive immediate notifications of critical misconfigurations or vulnerabilities and automatically generate service tickets for remediation.

Singularity Cloud Security utilizes push-based notifications to instantly detect misconfigurations and provide immediate alerts through integrated services, significantly reducing the mean time to detection compared to traditional polling-based methods.

Singularity Cloud Security has reduced our mean time to respond because its direct integration with our notification services allows for immediate attention to issues.

SentinelOne has improved our organization's regulatory compliance by providing insights into misconfigurations and issues before they impact our production environment. This proactive approach ensures consistent compliance with both regulatory standards and client expectations.

Cloud Native Security's evidence-based reporting allows for issue prioritization by determining their impact, enabling efficient time allocation to resolve the most critical problems first.

Cloud Workload Security's real-time threat protection safeguards our workloads, providing visibility into anomalies and threats, and automatically remediating them at a speed unattainable through manual intervention. This automation frees my team from time-consuming investigations and remediation, allowing them to focus on other critical tasks while ensuring our services remain actively protected.

The introduction of Purple AI by SentinelOne enhances our cybersecurity strategy by empowering engineers to proactively address security issues. This distributed approach allows engineers to triage, identify, and resolve problems within their own teams, reducing reliance on the SecOps team for all security tasks. By shifting responsibility leftward to the engineers directly accountable for specific components, we foster a more efficient and responsive security posture.

Cloud Native Security's evidence-based reporting allows us to prioritize issues by understanding their impact, helping us resolve the most important problems first. AWS real-time threat protection protects our workloads and provides visibility into anomalies or threats, automatically remediating them at speeds beyond our manual capabilities.

SentinelOne Singularity Cloud Security could be improved with easier integrations to the Singularity Data Lake, particularly for various vendors. Additionally, the platform would benefit from an enhanced ability to provide a deeper, holistic view of the entire application deployment cycle, extending beyond effective run times.

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

The most important aspect of the evaluation process was the support and responsiveness of the SentinelOne team, because great products alone cannot meet all needs. Ultimately, having a reliable team ready and willing to assist with any issues is essential.

Positive

We had an existing CNAP solution for about three years. While functional, it generated a lot of false positives and required extensive manual review. Additionally, it lacked useful integration with our other vendors and partners, and overall, felt somewhat outdated.

SentinelOne offers excellent pricing and licensing options. I was able to consolidate two security vendors into one by switching to SentinelOne, and I now pay less than I did for either of them.

As a cloud-native application operating exclusively within AWS, we procured SentinelOne through the AWS Marketplace. This partnership, facilitated through an EDP purchasing agreement, streamlines our procurement process, consolidates purchase records, and provides a discount on our AWS spending.

We did a proof of value with SentinelOne, reviewing and validating all the products we are currently using to determine their viability compared to our current vendors and ultimately make the decision to move forward with SentinelOne as our new product vendor.

Prior to evaluating SentinelOne as a CNAP vendor, we faced significant challenges with our existing vendors, primarily large organizations that were slow to update their products and meet our needs. However, our partnership with SentinelOne has been markedly different. Their leadership team demonstrates a strong commitment to customer success, fostering a culture of direct collaboration and continuous innovation, which aligns perfectly with our requirements for a partner.

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

The partnership between SentinelOne and AWS, particularly the Singularity Cloud integrations, provides streamlined access to actionable information from AWS.

I would tell anybody considering Singularity Cloud Security to absolutely proceed. SentinelOne has been phenomenal to work with, and I am looking forward to a continued partnership as they innovate and integrate AI, consistently rolling out new features.

We use Singularity Cloud Security to monitor our infrastructure and ensure it meets all security and compliance standards. The solution helps us maintain and strengthen our security posture. Singularity covers our AWS environment, Kubernetes clusters, and some of our GitHub repositories.

Our organization is growing steadily, so our infrastructure is expanding, and we're managing more technical resources. Singularity Cloud Security helps us track our resources so that we don't get lost in the overwhelming volume of things and ensures we follow best practices. The solution gives us better visibility into our resources and enables faster resolution. 

Another advantage of Singularity is compliance. I work in the payments industry, where regulations are strict.  Maintaining everything and ensuring all the resources meet compliance standards is challenging, but Singularity Cloud Security enables us to do that while saving a lot of time. 

Singularity has helped us reduce false positives, but it has also introduced some. Still, it's significantly less than many of the other tools we use. If we deal with fewer false positives, the technicians have more bandwidth to work on real issues. We don't need to spend time on the analysis and can focus on fixing the vulnerabilities and ensuring compliance. 

The solution has improved our security posture considerably. In the finance industry, we can't function if we aren't compliant. The better our security posture is, the more compliant we are. By reducing vulnerabilities, we have eliminated risk factors in our systems.

Our remediation time is shorter. It's easier to identify vulnerabilities. We don't need to do much analysis before fixing vulnerabilities. About 90 percent of the time, we can identify the correct problem instantly and begin remedying the finding. It has saved a lot of time. It takes us only one or two days to remedy critical issues, whereas it previously took two weeks. Our mean detection time has dropped from about a week to one or two days.

The solution has given us a lot of insight into cloud security. It shows us some best practices that many people in the company do not know. Singularity finds those weak spots and educates us on the latest best practices to follow. The next time we deploy changes to our infrastructure, we change our policies and designs based on the recommendations. 

Singularity Cloud Security's UI is clean, simple, and easy to use. When I started using it, I found it easy to learn what things are. Everything is explained in detail. It's always up to date with the latest technologies, such as AWS Kubernetes. They keep on top of trends with new features and updates.

The solution has a mapping feature that allows me to write my own queries and better understand my resources. It also offers some help with security controls on their end, suggesting best practices that you can use to write custom queries or standards. We have the flexibility to customize our infrastructure based on our needs. 

Singularity's evidence-based reporting rates my alerts so I can see which ones to prioritize and identify the critical vulnerabilities. It provides a highly detailed description of each vulnerability and the resolution steps. I can triage all the findings from one place and apply different filters based on my preferences.

The offensive security engine is another major feature. We use it for our infrastructure and machines to see if we have an exposure or liability. It takes some time, but the vulnerability reports are highly accurate. It saves us some time because we don't need to verify all the vulnerabilities. We just have to go fix them.

The detection time could be better. It takes a long time to scan. I'm not sure how long other tools take for the same amount of scanning, so I cannot compare it with other tools, but it takes us half a day to a full day to complete the scan. I want to get the reports faster so we can start fixing the problems. 

The proof of exploitability is another area for improvement. While I have all the information to troubleshoot the problem, it isn't detailed enough for an administrator. It has sufficient information for a general user, but an administrator would like to know all the ins and outs of the vulnerabilities that have been reported. 

I would like to see the map feature improve. It's good, but it isn't fully developed. It lets us use custom resources and policies but does not allow us to perform some actions. I would also like more custom integration and runtime security for Kubernetes.

We have used Singularity Cloud Security for about eight months. 

I haven't seen any major stability problems. There are some minor issues but they are rare. Overall, it has been a smooth experience.

Singularity is scalable. It has one UI that can be integrated easily with multiple backends, so we have all the data in one place and we can do whatever we want with it. 

I rate SentinelOne support eight out of 10. Their support team is proactive. It has been a while since I connected with them. They helped me with all my questions quickly. It was an excellent experience. 

Positive

I have worked on other infrastructure-as-code tools and other tools for various functions that Singularity performs, such an AWS Inspector, but now we use Singularity for most of it. 

The initial setup is not a very complex process. Because of the large number of resources, we have so many places where we need to integrate the solution repeatedly. It's easy to set up new places or add integrations. The initial setup took two to four weeks. That was how long it took to go back and forth and cover everything. 

We did a PoC first, which wasn't very hard. Our deployment team consisted of three or four people. The vendor team was very helpful when they deployed everything on our infrastructure. They helped us set up all the necessary permissions. 

The return on investment has been good. Singularity offers a lot of flexibility to focus on different aspects because it gives us a lot of information and helps us maintain the observability of all our resources. That is something that we value because of the sheer volume of resources we have. We couldn't do that manually or using some other tools. 

I rate SentinelOne Singularity seven out of 10. It's a solid product and I recommend checking it out. It has some excellent features, observability, metrics, etc. It's very cool.

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 are a security-based company. We use SentinelOne Singularity Cloud Security to put our data planes on it. We have a cloud setup, and we have integrated SentinelOne Singularity Cloud Security into our environment. It checks for any audit or security-related issues.

By implementing SentinelOne Singularity Cloud Security, we wanted a centralized solution. We have many AWS accounts to manage, so we wanted a single dashboard with analytics. We wanted to be able to view and monitor everything at once. We also wanted to customize the rules on which we wanted the alerts to be set up. SentinelOne Singularity Cloud Security was a better option for our use case.

We have multiple rules set up on SentinelOne Singularity Cloud Security for things that we want to monitor. We have set up something for restricted access for SSH, and then we have access to the EC2 instances. If any of the rules are broken or if there is a bad actor, we get notified quickly. It also helps with the audit and keeping the infrastructure clean.

SentinelOne Singularity Cloud Security includes proof of exploitability in its evidence-based reporting. This is quite important for us because we are a security-based company. We want to tag each and every alert correctly. We also need to provide RCA to the customers. SentinelOne Singularity Cloud Security forms a very good basic layer for things that are happening in the infrastructure. The reports that it gives are also nice. It gives us information about the impact and other things. It helps us.

Its setup is good. It also depends on how finely you want to set it up. It depends on the rules you set, the thresholds you set, and how quickly you act on things. We did not want SentinelOne Singularity Cloud Security to act on things, so we went for a basic setup without any auto-remediation. We act on the issues. It provides us with a basic layer of security.

Previously, we used to find issues from the AWS console and the AWS logs, but because we had multiple AWS accounts, finding out the issues was a bit of a pain point for us. We had to go inside 30 to 40 AWS accounts to find out the capabilities. We had to write our own automation scripts to find the full logs. We wanted a solution that gave us a centralized place to put all the issues that we were facing based on security concerns. With SentinelOne Singularity Cloud Security, we found a centralized solution. It was easy for us to get the data of 30 to 40 clusters in a single dashboard. It was pretty nice to have that. The UI seems a bit confusing initially, but once you start using it, it becomes more intuitive.

There is a team that is working on setting it up on ISE. So far, with just a vanilla setup, it is doing its job, and we are happy with it.

There are a few false positives, but we want them to be there. We do not want to miss out on something. We want everything to be monitored. It does not matter to us if it is a false positive. At the end of the day, the cost that we would pay by ignoring a true positive thinking it is a false positive would be much higher than going through false positives and marking them as false positives.

For every module and everything that we do on our AWS clusters, we evaluate the risk individually, and then SentinelOne Singularity Cloud Security forms an extra layer of security on top of the personal checks that we do. It is like a shield for us. It helps us a lot.

SentinelOne Singularity Cloud Security has reduced the mean time to detect issues by a lot. Earlier, it was a very manual process to detect errors. There was not a single place where we could look into all the alerts. They were all scattered. SentinelOne Singularity Cloud Security unified that. With SentinelOne Singularity Cloud Security, once the alert is detected, we can just look into it directly. We can go into a specific cluster, resolve the issues, and mark it as resolved. There is a 45% to 50% reduction in the mean time to detect.

Our mean time to remediate remains the same because we have manual remediation. There is no change in that. The main issue for us was to be able to detect issues, and SentinelOne Singularity Cloud Security solved that for us, but because remediation is taken care of by us manually, the mean time to remediate remains the same.

SentinelOne Singularity Cloud Security is continuously monitored by the customer success engineering team and the security team. These people contact the infrastructure team. The application team is not involved because we mostly monitor the infrastructure side. That is the AWS side. It helps us with better collaboration. When the time zones change, we do not have to give a lot of context or change information across different time zones to different people. They can go into the console, see the issue, and continue to work on it.

Earlier, if there was a security issue, it had to be handed over to people in different time zones. Because we are a global company, we have on-calls and other things. Earlier, it used to be a big process. We had to write down the whole documentation of what happened, where we were seeing the issue, and whether it was resolved or not. We had to provide the complete information on that single issue. Things are simpler now because people can just log into it and see what is in the pending state and which security vulnerabilities we are still facing. A person in a different time zone can just log into the SentinelOne Singularity Cloud Security console and start remediating the issue.

The multi-cloud support is valuable. They are expanding to different clouds. It is not restricted to only AWS. It allows us to have different clouds on one platform. The integration is quite easy. It took around 15 minutes for the whole stack to set up. It was very easy to set up. That was one of the best things.

The custom rules are also valuable. We can set up our own thresholds on the rules. We can have a granular setup for the rules. We can also scan for specific ports and specific AWS modules. The granularity of rules is good. 

In terms of ease of use, initially, it is a bit confusing to navigate around, but once you get used to it, it becomes easier. Initially, I had problems finding a few things and creating the policies. It was a bit difficult for me, but after going through the documentation, it got easier.

I was checking the IaC checks that they have, and they can add something for auto-remediating IaC. They can integrate something that will help auto-remediate on IaC and make needed changes to the code. They can also integrate something like CoPilot.

Other than that, I do not have any input. They have covered quite a bit. They are doing a good job. The features are good for what we are using it for right now.

I have been using SentinelOne Singularity Cloud Security for 3 to 4 months.

Its stability is good. We do not have a high volume. It is doing well for the scale that we have. I would rate it a 9 out of 10 for stability.

Its scalability is good. I would rate it an 8 out of 10 for scalability. It meets our requirements. SentinelOne Singularity Cloud Security does the very basic job of collecting the CloudWatch logs, keeping them in a centralized place, and looking for errors. We have scaled it across all of our AWS accounts, and it is doing well. I do not see any issues coming in the future as well.

SentinelOne Singularity Cloud Security is being used by our infrastructure team. There are 15 to 20 people who keep a check.

Their support was good. I would rate them an 8 out of 10.

Positive

We did not have anything like SentinelOne Singularity Cloud Security before.

The initial setup was straightforward. It only took about 15 minutes.

We initially had issues handling the setup. We were doing it slightly wrong. We ran it multiple times which messed up the setup. We got SentinelOne Singularity Cloud Security folks on the call. SentinelOne Singularity Cloud Security people assisted us with it, and it was very quick once they were on the call.

We are on the cloud. We have different AWS clusters, and we have onboarded AWS clusters to it. There is a single dashboard for us. We have not integrated it with anything else. SentinelOne Singularity Cloud Security is a separate system running, and we have not integrated it with anything. Being a security company, we are directly adding third-party solutions to our stack. 

SentinelOne Singularity Cloud Security does not require any maintenance from our side. It was a one-time installation, and since then, we have not had any issues with it.

Based on the things that we have tested, it does a pretty good job of alerting and reporting. If you have a highly scaled environment with 50 to 60 AWS clusters and you are looking for a tool that simplifies getting security logs, SentinelOne Singularity Cloud Security is the perfect solution. It does the job. I would recommend SentinelOne Singularity Cloud Security to others.

SentinelOne Singularity Cloud Security has an auto-remediation feature, but we are not using that because we have to give a lot of access to SentinelOne Singularity Cloud Security for that. We are not willing to do so. That is why we do not use the auto-remediation offered by SentinelOne Singularity Cloud Security. We just get the alerts, and then we act on them. We also do not use agentless vulnerability scanning, IaC scanning, and SentinelOne Singularity Cloud Security's Offensive Security Engine.

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