SentinelOne Singularity AI SIEM, Hyperautomation, Purple AI & Observo AI

I use SentinelOne Singularity AI SIEM  for endpoint security, including EDR and SIEM-based monitoring, as well as for XDR . I monitor endpoints for security reasons and receive alerts when suspicious or malicious activity is detected. When I find anything suspicious or malicious, I investigate it further.

I particularly appreciate a feature called Purple AI , which is an AI-based tool that allows us to fetch logs and investigate through a single prompt. It is useful for providing a brief summary of what has happened without needing to review logs in detail. Through this AI capability, we can understand exactly what has been occurring.

There is significant automation we can implement through a feature called hyper-automation. We can automate workflows easily using a drag and drop interface, rather than writing scripts. This makes automation in SentinelOne very straightforward.

I would say the quality is top-notch. It provides perfect summaries, has reduced our response time, and helps us reduce false positives. We receive mostly true positive alerts and do not need to write additional detection rules. SentinelOne Singularity AI SIEM  can detect new sophisticated threats and zero-day attacks on its own without requiring rules from us. This automated detection capability is something I truly appreciate.

SentinelOne Singularity AI SIEM  has some performance and reliability issues that need improvement. The interface flickers frequently, and sometimes it does not load properly. When this happens, we have to log out and log back in, or refresh the page before we can see the alerts. Sometimes the interface will be blank. These performance and reliability issues need to be addressed.

I have been using SentinelOne Singularity AI SIEM  for more than one year.

I would rate the stability at six out of ten.

I would rate scalability at seven out of ten. SentinelOne Singularity AI SIEM handles a large environment fairly smoothly and works well. The performance depends on the configuration. If it is properly configured, it works well for large environments as well.

I would rate the technical support at eight out of ten. SentinelOne Singularity AI SIEM has AI-based technical support available. When we have questions or require documentation, we receive it promptly. The support is good.

Compared to other tools we have used, such as Sumo Logic, Splunk, and CrowdStrike, those solutions do not have as much AI capability. After using SentinelOne Singularity AI SIEM, it has reduced our incident response time by forty to fifty percent compared to other tools.

SentinelOne Singularity AI SIEM has reduced our response time to true positive alerts by approximately forty percent through automation. For false positive reduction, it has decreased our false positive rate by fifty percent.

I can appreciate SentinelOne Singularity AI SIEM primarily for its AI capability. For this reason, we switched to SentinelOne Singularity AI SIEM. It has behavioral AI plus machine learning that has been integrated. We chose SentinelOne Singularity AI SIEM mainly because of its AI capability. It is a unified platform that provides a unified view of security alerts without requiring us to look at other data sources or switch between different tools. This has reduced the time required for faster detection and response.

I would recommend SentinelOne Singularity AI SIEM to other users. Most tools do not have the same level of AI capability. SentinelOne Singularity AI SIEM has Purple AI  and hyper-automation features that I can suggest to other users based on these capabilities.

SentinelOne Singularity AI SIEM has improved our SOC's efficiency in investigating alerts and responding to incidents through its AI capability. It provides us a unified view of entire alerts. We do not need to go to other data sources to understand what happened. It connects all the dots and gives us a unified alert view without requiring us to navigate to other tabs. We can see what happened from start to end. Cybersecurity and hacker tactics are constantly evolving, and we are seeing many sophisticated attacks nowadays. SentinelOne Singularity AI SIEM detects these attacks by itself without needing predefined rules, using machine learning and behavioral baselines to detect anomalies and trigger alerts. Additionally, Purple AI automatically provides a summary of incidents explaining what has happened in simple terms without requiring deep investigation into alerts or logs. This explanation of what was abused helps us make faster decisions about whether an incident is truly a threat or a false positive alert.

SentinelOne Singularity AI SIEM has significantly impacted our security tasks and reduced manual effort. We have requirements from clients we provide services for regarding particular alerts or unreported data. We can automate notifications to the customer when these conditions occur without manually creating a ticket. SentinelOne Singularity AI SIEM can automatically notify the user. We also use it for responding to alerts. In some cases, we need to disconnect an endpoint from the network to prevent malicious activity from spreading. We use hyper-automation to automatically disconnect endpoints or remove malicious files if they are present on an endpoint.

I give this product an overall rating of eight out of ten.

The main use cases for SentinelOne Singularity AI SIEM  are endpoint protection and EDRs. When you compare the EDRs with Trend Micro and others, you will find many false positives, but SentinelOne gives you the best protection. It uses its AI to scan and find new malware, how new attackers are behaving, and addresses zero-day attacks as well. It is quite good, but the only downside is that it is costly.

The best features in SentinelOne Singularity AI SIEM  include AI capabilities; they have two types of AI. First, AI is on the dashboard, which you can interact with, such as asking for logs of the last ten days, and it will provide them to you. This is one type of AI, similar to a chatbot. The other AI operates in the back end to find malware. It employs a combination of AI and ML to check for viruses or any other malicious processes, including fileless attacks.

The impression I have of the AI-driven threat detection capabilities of SentinelOne Singularity AI SIEM  is that it is good and working fine, and I have never found any complaints from any customer. The dashboard is also quite simple.

When it comes to room for improvement, I would say the analysis page can be improved.

In terms of improvement, you can add more detection features.

I have been working with SentinelOne Singularity AI SIEM  for almost six months.

I have not seen any stability or scalability issues with it; it is usually license-based, so when you are buying, you typically know how much you need.

In terms of performance stability, I have never had any crashes, downtimes, or performance issues.

The scalability of SentinelOne Singularity AI SIEM in adapting to an organization's growing data or complex IT structures is good, but it actually depends on the person who is managing it and how they make the policies; it totally depends on the policies they are making.

My thoughts on the tech support of SentinelOne Singularity AI SIEM are that it is good and AI-based, and the documentation is also good compared to other solutions I have seen.

The benefits of SentinelOne Singularity AI SIEM include that most of the customers who use it upgrade from their existing endpoint solutions. Many are using Trend Micro endpoints, Check Point endpoints, or others, and they are unhappy, especially with solutions such as Kaspersky. When they face attacks such as ransomware and are dissatisfied with their existing solutions, they switch to SentinelOne Singularity AI SIEM, which is quite good in detecting unknown threats, cleaning the system, and handling ransomware.

Regarding the initial setup of SentinelOne Singularity AI SIEM, I can walk you through the deployment process: you can sync your AD, and the agent installation can also be automated. You can push it directly from your Microsoft Active Directory  using GPO, which makes it easy. The agent installation can be automated, so I do not think it takes much time. However, since it is an endpoint tool, you have to consider policies for different departments, including allow lists and block lists, so deploying any endpoint does take some time.

We are not directly system integrators of the product, but we sell through Lenovo.

Apart from the Harmony, I work with various CloudGuard Check Point products, and I also have a certification for SOCRADAR. I work with SOCRADAR and still have hands-on experience doing POCs and demos with SOCRADAR. I have recently done POCs or demos with SOCRADAR. We are working with an alternate solution for that, and it is a new solution.

SentinelOne Singularity AI SIEM has many features, and my recommendation is to utilize all of them, but people often do not use them all. It would be helpful to automate it or use playbooks to take full advantage of the features. I rate this product a nine out of ten.

Our use case with  SentinelOne Singularity  AI SIEM is primarily AI observability for a large part. We are using it for SIEM  purposes as well. Prior to the inclusion of Purple AI , it was exclusively SIEM .

The best features of  SentinelOne Singularity  AI SIEM are 100% Purple AI .

In addition to that, though somewhat tedious, the implementation of any data you want is a feature of SentinelOne Singularity AI SIEM, and also the option to analyze that via Purple AI to some degree. Additionally, the existence of a large catalog of native integrations is valuable.

Overall, I would assess the overall security posture after implementing SentinelOne Singularity AI SIEM as significantly improved. We finally  have visibility into things that were never visible before. When talking to new customers and onboarding them, it is always apparent that there are so many things in their environment that they never even really knew about and had no visibility into. They previously needed to go through obscure, hard-to-use, and weird tooling to potentially access this information. Having all of that in SentinelOne Singularity AI SIEM makes it so much easier.

In AI SIEM, the areas that have room for improvement are the parsers for third-party integrated data or for third-party data sources that are not native integrations, which could be made a bit easier. I did hear that there is something on the horizon for this, but that is an area that could be made less tedious.

Potentially to some degree, the evaluation of singular events in SentinelOne Singularity AI SIEM could improve. Sometimes they are painting the devil on the wall where there is not really a big issue, just a normal, everyday event. Those are sometimes taken a bit too negatively.

I am still using SentinelOne Singularity AI SIEM presently.

When it comes to stability, I would give SentinelOne Singularity AI SIEM a nine. There are no really noticeable glitches or bugs. There used to be a few availability issues, but those are essentially mitigated by now. SentinelOne has taken those very seriously and in the past months, which might have been almost a year by now, I have not really noticed any availability issues.

I would rate the technical support of SentinelOne Singularity AI SIEM a nine.

As for maintenance required with SentinelOne Singularity AI SIEM, I would say it is even easier than the base product because you do not really onboard new data sources that often. If I put it into times a year, I would say it might be twice a year-ish that you need to do maintenance work essentially. Of course, if you want to add new detections or anything, that can be whenever, but I would not really consider that maintenance.

For others looking to implement SentinelOne Singularity AI SIEM, I would recommend starting with a proof of concept. Of course, with a SIEM that is a bit more effort to fully onboard, you might want to get an in-depth demonstration first and see if it meets your needs. Even before the demonstration, ask yourself what you even expect of a SIEM and what points you want from the solution. Once you are in the presentation, you will realize that those can very easily be met and completed with SentinelOne.

In comparison, I would assess SentinelOne Singularity AI SIEM favorably to other solutions or vendors such as Splunk, Microsoft, Hunters , Anomali , and Graylog. The nice part about it as well is that you can use AI SIEM standalone. However, the big advantage in my opinion comes from using it with the EDR. If you do that, you just have one of the main issues of SIEMs completely taken care of.

That being the data from the endpoints, in modern SIEMs, you have roughly 80 to 90% of the data is endpoint data. In other SIEMs, you have to pay for those and pay for every bit of data that you put in. With SentinelOne, if it is from the endpoint, you natively have that data and you do not have to pay extra for that, and it is just additional data on top of that. Additionally, combining that with the ability to have all the data in a single data lake means you do not need to use multiple data stores. It is using an open source data format, which is awesome.

My impression of the AI-driven threat detection capabilities of SentinelOne Singularity AI SIEM is great. I am really looking forward to the upcoming feature with agentic incident investigation. If that is actually capable of autonomously investigating incidents across multiple data sources, for example, not just from SentinelOne, it will be transformative. The example I heard recently was an employee of the company opening a normal ticket just stating that their VPN connection is not working. That ticket is also made available to SentinelOne and it will then investigate what is going on with that. In the end, it turned out that this was actually an attack and that employee's VPN connection was hijacked. I am really looking forward to that feature, though it is not here yet, but even right now, it is great.

In terms of assessing the efficiency of SentinelOne Singularity AI SIEM in improving response time to sophisticated threats, you very quickly get an overview of all data and data related to the incident. Even if there is no active incident, you can very quickly get all related information due to the Storylines and Purple AI.

SentinelOne's AI-driven analytics have affected our SOC abilities to reduce false positives, and I would say roughly about 80%.

I would rate this solution a 10 overall.