

Find out in this report how the two AI Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
By catching issues early, Rapid7 InsightCloudSec helps us prevent costly breaches or regulatory fines; for example, automating patching and misconfiguration audits can save thousands in operational overhead.
It provides a good security posture and helps handle misconfigurations and day-to-day remediations.
I can confirm money and time savings with Rapid7 InsightCloudSec, as we can scan the entire IP range simultaneously instead of manually checking each asset for vulnerabilities.
SentinelOne Singularity Complete has helped reduce my organization's mean time to detect by fifty percent.
Since then, I have not faced any intrusions, which is one reason I chose SentinelOne over ESET.
We have not faced any attacks since we implemented it.
On a scale of 1 to 10, the customer support would be rated a 10, as responses are typically received within about half an hour to an hour when creating a ticket.
They have excellent support with internal Slack channels and are directly reachable through Teams.
I interacted with customer support after an endpoint compromise incident, and they responded quickly and provided clear insights that were essential for resolving the situation.
We are using the automated email process for support, and they respond within an hour or two hours sometimes.
A chat service would be beneficial.
The technical support from SentinelOne Singularity Complete is very active and good, with a strong knowledge base available online.
I have not experienced performance issues as I add more assets, and everything operates smoothly within one console.
It's all auto-scale and auto-categorized, configuring automatically.
SentinelOne Singularity Complete is very scalable.
My deployment is relatively small, and SentinelOne Singularity Complete works within those constraints.
Rapid7 InsightCloudSec works without any stability issues so far.
This indicates room for improvement in stability when interacting with other solutions.
Initially, there were issues, particularly on the management side, but now the console is much more stable.
Everything is managed automatically, so there is no user interference needed for upgrades.
Rapid7 InsightCloudSec already provides us real-time feedback loops, but if it also provides real-time feedback to the developers, then it would help the application shift left, meaning the security will shift left as well.
Rapid7 InsightCloudSec needs improvements such as AI-driven risk prioritization, proactive cloud risk modeling, advanced IAM privilege analysis, multi-cloud attack path mapping, pre-built automated hardening, defining stronger policy as code support, better container and serverless coverage, and cost optimization insight along with safe auto-remediation with rollback improvements.
If you can improve the traditional detection rules to reflect current detection rules, it would make it significantly easier for us to manage, as we constantly need to check legacy rules to update or possibly turn them off. Updating the legacy rules should be a priority.
The only thing that prevented the attack from succeeding was a free version of Malwarebytes.
Providing a single pane of visibility for the end user would be beneficial.
That seems to play a little havoc and can conflict with manual installs, causing issues where it wants to delete and reinstall the client.
It is cheaper.
The more numbers you have, the less costly the product becomes, as licensing operates on volume.
While it was not overly expensive, I do wish for more discounts for bulk purchases since we have implemented it widely across our cloud security posture.
If you want protection, you have to pay the price.
There are other products that are less expensive, but I tell my clients that in security, they cannot cut corners or look for the cheapest solution.
Reputation and quality are important, but especially in today’s economy, price is a significant factor.
Using Rapid7 InsightCloudSec alongside our ManageEngine patch management module positively impacts my organization by scanning assets deeply and providing all identified vulnerabilities, from zero-day to any vulnerabilities on an asset, addressing those that ManageEngine might not identify.
Rapid7 InsightCloudSec has helped us save thirty percent time in our log retrievals, and it completely changed log searching, making it really fast when we search for logs, with no prior knowledge required.
Rapid7 InsightCloudSec positively impacts my organization by integrating tightly with my existing vulnerability management process and workflows, particularly in creating a new project and implementing trigger-based scanning.
I have an advanced app providing visibility of all my endpoints, which was not the case before.
SentinelOne has a feature to decommission automatically, which has been fantastic.
There's also automation that gives my team free time, preventing them from having to look for every alert.
| Product | Market Share (%) |
|---|---|
| SentinelOne Singularity Complete | 2.4% |
| Rapid7 InsightCloudSec | 1.1% |
| Other | 96.5% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 5 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 87 |
| Midsize Enterprise | 44 |
| Large Enterprise | 76 |
Rapid7 InsightCloudSec is a comprehensive CSPM tool catering to cloud security across Docker and Kubernetes workloads, ensuring rigorous data classification and protection, focusing on AWS and Azure platforms.
Organizations leverage Rapid7 InsightCloudSec for securing cloud environments, integrating smoothly into Kubernetes settings for extensive security oversight. This tool addresses data protection with governance and access controls, providing centralized visibility and alert mechanisms. Users depend on its threat detection capabilities, easing data security management on AWS and Azure. The platform integrates automated processes and agentless scanning to foster an understanding of cloud security dynamics. Enhancements in CNAPP management and more intuitive interfaces could further streamline its use.
What are the most important features of Rapid7 InsightCloudSec?In financial sectors, Rapid7 InsightCloudSec is critical for safeguarding sensitive information and ensuring compliance. Healthcare industries use it to protect patient data, adhering to strict regulatory standards. E-commerce businesses appreciate its ability to secure transaction data while maintaining service availability through reliable threat detection and mitigation strategies.
SentinelOne Singularity Complete delivers advanced endpoint protection leveraging AI-driven threat detection and behavior analysis for efficient malware and ransomware response. Its standout features enhance security insights and ensure comprehensive endpoint management.
SentinelOne Singularity Complete provides robust ransomware recovery through unique rollback capabilities and seamless integration with various security solutions. Its machine learning enhances endpoint protection, minimizing false positives and automating responses. While praised for real-time threat monitoring, incident management, and asset management, it faces challenges in managing the console, customizing UI, and maintaining policy flexibility. Some users report difficulties with deployment and integration with existing systems, and enhanced reporting, alert management, and documentation are desired. Its appeal extends to deploying across multiple operating systems, offering comprehensive security coverage and facilitating cybersecurity compliance.
What standout features does SentinelOne Singularity Complete offer?Industries implement SentinelOne Singularity Complete for its AI capabilities in advanced endpoint protection, particularly against malware and ransomware. It's utilized across diverse operating systems, aiding in real-time threat monitoring and facilitating compliance. Organizations use it for vulnerability assessments and asset management, ensuring optimal protection in complex IT environments.
We monitor all AI Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.