

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 AI SIEM has reduced our response time to true positive alerts by approximately forty percent through automation.
At the moment, I feel the pricing is a little bit on the higher side, but the tool is positioned in a place where risk is very high, and we do not want to take chances, so we are prepared to pay the premium.
The effect of SentinelOne Singularity AI SIEM on our customers' SOC efficiency in investigating alerts and responding to incidents is significant.
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.
SentinelOne Singularity AI SIEM has AI-based technical support available.
Based on my experience with the technical support of SentinelOne Singularity AI SIEM, I would rate them a ten.
In rating the technical support for SentinelOne, it depends on whether we are discussing EDR or SentinelOne Singularity AI SIEM.
I have not experienced performance issues as I add more assets, and everything operates smoothly within one console.
With any AI adoption, the end goal should be more governance and data security and safety.
The performance depends on the configuration.
It is scalable, and we can increase the compute size. It can scale. There are no challenges.
Rapid7 InsightCloudSec works without any stability issues so far.
When it comes to stability, I would give SentinelOne Singularity AI SIEM a nine.
In terms of performance stability, I have never had any crashes, downtimes, or performance issues.
Even the data lake feature they have, in terms of keeping all the logs intact, those log searches are extremely fast on SentinelOne Singularity AI SIEM, even though the data is very high.
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 adoption rate will be less compared to other products, as this can be a time-taken process because all my data needs to be offloaded and the system needs to understand my existing alerts, logs, and other things.
The interface flickers frequently, and sometimes it does not load properly.
Whenever OT security comes into the picture, the customers do not allow us to integrate their OT devices on a cloud. It should be available on-premises because the OT SIEM market, in the India market for instance, is something around a four to eight billion dollar market.
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.
I find SentinelOne's pricing to be reasonable and competitive.
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.
We finally have visibility into things that were never visible before.
It employs a combination of AI and ML to check for viruses or any other malicious processes, including fileless attacks.
The AI-driven threat detection capabilities improve our overall security posture.
| Product | Mindshare (%) |
|---|---|
| Rapid7 InsightCloudSec | 1.0% |
| SentinelOne Singularity AI SIEM | 1.2% |
| Other | 97.8% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 3 |
| Large Enterprise | 3 |
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 AI SIEM offers comprehensive security information and incident management designed to enhance threat detection, response, and investigation capabilities within enterprise environments.
SentinelOne Singularity AI SIEM is known for its robust capabilities in the realm of cybersecurity, providing organizations with an advanced tool to combat modern threats. The platform integrates machine learning and artificial intelligence to automate threat identification and streamline incident response processes. Its intuitive interface allows teams to manage security events efficiently, ensuring rapid reaction to potential vulnerabilities. As a scalable tool, it adapts to evolving security demands, providing valuable insights to safeguard critical business operations.
What are the important features of SentinelOne Singularity AI SIEM?In industries such as finance and healthcare, implementation of SentinelOne Singularity AI SIEM often means tailored solutions to protect sensitive data, meeting regulatory compliance. These sectors appreciate its capability to provide detailed insights and reduce the risk of data breaches, thus preserving stakeholder trust.
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