We performed a comparison between Hillstone I-Series Server Breach Detection System and Rapid7 InsightIDR based on real PeerSpot user reviews.
Find out what your peers are saying about IBM, Splunk, Rapid7 and others in User Entity Behavior Analytics (UEBA)."The most valuable features of the Hillstone I-Series Server Breach Detection System are the AI detection and monitoring of common threats."
"One or two people can maintain and support the solution. The maintenance is not difficult."
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"The product works well. Stability-wise, I rate the solution a ten out of ten."
"The solution is easy to use, and the interface is intuitive."
"During simulations or demonstrations, the tool generates alerts, providing details such as the specific application, its origin, and potential threats. For instance, it can identify if an application belongs to a known ransomware group. The system rates the threat, offering a clear detection ratio, such as 97 out of 100. It not only identifies threats but also illustrates the associated behaviors, helping us understand the potential risk to a particular endpoint."
"It is a very stable solution."
"Rapid7's reporting is more robust than Tenable's."
"The technical support is a solid 10 out of 10 as they take the time to answer any questions or problems which may arise in a reasonable time frame."
"The solution is very scalable in terms of the licensing model."
"Very intuitive and easy to set up."
"The UI dashboard view needs to be improved because it is ugly. If it was more modern it would be better. Additionally, better integration with other databases would be good."
"Hillstone I-Series Server Breach Detection System can improve by having more anti-spam features that will hopefully eliminate all of the other threats."
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"Cloud risk assessment is one area where I think they need a lot of improvement."
"The solution's XDR agents cannot compete with the XDR solutions out there yet."
"I would like the ability to adjust the threshold of certain existing alerts. Currently the only option is to change the notifications or create my own alert."
"It takes time for the product's support team to resolve issues, making it an area of concern where improvements are required."
"One of the things that could be better is digital forensics. It is there, but it can be better. They could provide more on the endpoint detection level."
"Needs a better ability to customize the check within the console."
"Sometimes, it is hard to get the right queries to use. Currently, the tool lacks a pre-made set of queries."
"One thing that springs to mind is easier API integration with ITSMs. We are evaluating a new ITSM and I would like to have InsightIDR create a ticket when an attack is identified, and the ticket would be closed in InsightIDR when the ITSM resolution is completed. This would take out the "single point of failure" we currently have, if the email recipient is somehow absent, in recording the risk appetite for the incident and the actions taken to mitigate or not."
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Hillstone I-Series Server Breach Detection System is ranked 22nd in User Entity Behavior Analytics (UEBA) with 2 reviews while Rapid7 InsightIDR is ranked 3rd in User Entity Behavior Analytics (UEBA) with 29 reviews. Hillstone I-Series Server Breach Detection System is rated 7.0, while Rapid7 InsightIDR is rated 8.4. The top reviewer of Hillstone I-Series Server Breach Detection System writes "Beneficial AI detection, helpful support, but modern UI needed". On the other hand, the top reviewer of Rapid7 InsightIDR writes "An affordable product that is easy to use and has many advanced features and default templates". Hillstone I-Series Server Breach Detection System is most compared with Fortinet FortiWeb, whereas Rapid7 InsightIDR is most compared with Darktrace, Microsoft Sentinel, Splunk Enterprise Security, Rapid7 InsightVM and IBM Security QRadar.
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We monitor all User Entity Behavior Analytics (UEBA) 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.
