SentinelOne Singularity Cloud Security Reviews

We use it for a couple of use cases. The biggest one we use it for is to protect our AWS environment, and it does a couple of functions for us and our whole development. It scans all the code in our GitLab or our code repository and looks for any hard-coded passwords or keys or any insecurities. It checks if we have any old deprecated components within our software and points that out.

There are a couple of gates that we can set up. When we are pushing the code out of the repos into AWS, it finds any high-severity vulnerability. This is configurable, but we have critical, high, and medium severities. If it finds any, it blocks the push and puts some notes in for the developers to go in to remediate the issue before they can push the code into AWS. Let us assume the code is good in GitLab and gets over to AWS. It then does a couple of things on the AWS side. It looks at the overall infrastructure and how things are configured. There may be things in AWS that are misconfigured or old components that were manually built or deployed without going to GitLab. It points them out.

I have been very happy with the evidence-based reporting. It is not just theoretical. It scans the code or looks at the AWS environment and pulls back the details that tell us that this is a vulnerability. We have a good understanding of why it is a highly-rated vulnerability. It makes it much easier to prioritize and then go through and remediate the issue.

Agentless vulnerability scanning has been very good. It pulls back quite a bit of information that is actionable by our team.

Singularity Cloud Security includes proof of exploitability in its evidence-based reporting. That is critically important because especially in large environments, when you run scans or use the vulnerability scanning tool, you might be inundated with results. It takes a long time for analysts to go back through and validate whether it is a true positive or a false positive. Singularity Cloud Security can eliminate a lot of false positives or almost all of them, and we can focus on something that is a true issue, as opposed to wasting our time and resources.

The Offensive Security Engine is doing the attack path management. That is one of the most critical features to us because it tells us that we have this misconfiguration here, or we may have a secret or some vulnerability here. It tells us about the impact and how an attacker could exploit that to gain persistence in our environment and install data. We have a true impact of why this is important and why we need to fix it. With scanners like Rapid, Qualys, and others, we get the credentials and we get a scan, but then we spend an inordinate amount of time looking through reports and trying to figure out:

• Where do we spend our time?
• What do we prioritize?
• What is remediated?
• What is it that we can remediate?
• What is it that we can take action on and make an improvement in the environment?

It is very frustrating when you are spending hours only to run down something and realize it is a false positive, and there is nothing you can do to make a positive impact. Eliminating all those false positives really helps us.

We have had very good luck with the IaC. For us, it is hugely valuable because we can catch things very early in the process before they get promoted into production. In case something flips through or escapes, it still helps you to find it.

We started seeing its benefits literally the day after deployment. The only reason I say the day after is because we ended up working on it kind of late in the afternoon. We got things set up, and it took a few hours for results to start populating, but its benefits were very apparent when we started looking through the reports and dashboards.

Singularity Cloud Security significantly helped reduce the number of false positives we deal with. The biggest aspect for us is allowing the security and development teams and DevOps to be much more efficient. As opposed to spending 80 hours going through some big reports, we are able to cut that down to a fraction of the time and make a positive impact on the environment. We are not chasing a bunch of dead ends.

It has made a great impact on the risk posture. We are also able to look at the trends over time in terms of where we started and what we remediated. You can see the environment getting more secure as we keep knocking down vulnerabilities.

Our mean time to detect is much faster. It is a much lower number there. There has been a significant change in the number of vulnerabilities remediated or per hour of investment from the engineering and security teams. By implementing this tool, we are able to do a lot more with the same team size and remediate things much faster than before.

It has made it much easier for these disparate teams to have the conversation in terms of what needs to be prioritized and fixed, and then it has given a lot more information. It eliminates some of the he said, she said, or some of the frustration that can happen between different teams because one team is looking at a tool they are familiar with and the other team has a different tool. Historically, there were some disagreements in terms of what issues exist in the environment and where we should spend our time in terms of trying to make improvements and remediate.

As an engineer, I'm using the solution for managing infrastructure and security posture management. 

It's primarily for cloud infrastructure, data center infrastructure, and security posture management, but it also provides other capabilities such as infrastructure-as-code scanning and detects hardcoded secrets in the source code, including for EKS, DevOps tools, etc. 

Evidence-based reporting helps us to prioritize and solve critical security issues. The new visualization feature demonstrates how an attacker can enter the system, highlighting the potential path that can be exploited and outlining all the steps the attacker could take. With that visibility, we can ensure the perimeter is strong and attackers cannot enter, thus reducing the risk. It has helped us prioritize issues.

The visibility into how an attack could happen is valuable. For example, it highlights the system vulnerability and outlines where an attack could propagate. The visualization helps me to prioritize remediation, and if I don't know where to start, I can check to see the score that enables me to prioritize issues.

I am using infrastructure-as-code scanning, and it's one of the useful features. In pre-production, it identifies embedded secrets and misconfigurations, including issues with Kubernetes or some privileged containers. This feature allows us to pass the audit and secure IaC code so that it isn't easily exploitable by attackers. We can more proactively work to identify and resolve vulnerabilities by using the dashboard and the alerting system that SentinelOne provides.

It helps us with audits and compliance. We can show the compliance in percentage. We can confidently say that our company or infrastructure is very secure. It has improved our security posture by 30% to 35%.

It has reduced our false positives by 30%.

It has helped teams collaborate better. The security team manages SentinelOne Singularity Cloud Security, and when it flags vulnerabilities, they are forwarded to DevOps for remediation. Previously, we needed to identify and report the issues, but there would be lapses in communication. Now, there is a centralized dashboard that anyone can look at and see the open issues and work on them. 

As an API developer, my use case is to use SentinelOne Singularity Cloud Security for security purposes. It alerts me if there are vulnerabilities, attacks, or security breaches.

We primarily use SentinelOne Singularity Cloud Security for cloud security posture management. This solution also provides other capabilities such as infrastructure as code scanning, identifying hardcoded secrets in the source code, and covering Kubernetes security, utilized by about 25 members of the security and DevOps team.

SentinelOne Singularity Cloud Security is easy to use, and even beginner-level people can use it conveniently without any difficulty. The dashboard is innovative and sorted, providing numerous metrics for reporting and everything. 

It has reduced my mean time to detect by 20%. My mean time to remediate has also reduced by 20%. 

It helps save us time by automating manual activities. We have automated everything in SentinelOne Singularity Cloud Security itself and integrated APIs, reducing our time by 30% to 40%. 

We have seen a return on investment of saving about 20% to 25% in manpower.

We use the tool for cloud security management. We check the vulnerabilities in the cloud during the configuration phase using SentinelOne Singularity Cloud Security. We check how many cloud assets are being covered and how many issues have been identified from multiple cloud assets. We check different types of issues. We look into cloud network configuration, Offensive Security, Kubernetes security, and vulnerabilities. We also use the ThreatWatch option to check for active attacks happening worldwide. We can also check compliance, analytics, and asset inventory. We use the tool in multiple locations.

Without the product, we cannot know the configurations and the issues that are present in the cloud assets. SentinelOne Singularity Cloud Security helps us to know such details easily. It guides us and shows the flaws or vulnerabilities present in the cloud assets. It also provides good remediation processes with screenshots. It is easy to tackle and remediate the issues present in the cloud assets.

We use SentinelOne Singularity Cloud Security for real-time alerts, enabling us to address potential threats proactively.

SentinelOne Singularity Cloud Security was implemented to enforce best practices, monitor runtime activity, and expedite troubleshooting.

SentinelOne Singularity Cloud Security provides easy-to-follow documentation on the steps required to resolve issues.

It offers a user-friendly experience with a centralized console for managing assets and delivering devices.

Singularity Cloud Security provides a real-time inspection for organizational growth, which makes it suitable for both small and large enterprises. It is interactive and easy to navigate, simplifying self-service.

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.

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. 

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%.