We performed a comparison between ArcSight Analytics and DNIF HYPERCLOUD based on real PeerSpot user reviews.
Find out in this report how the two User Entity Behavior Analytics (UEBA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."One of the most valuable features is the alerts."
"The data collection and the integration with different products are valuable features."
"The most valuable features are that you get lots of connectors, which make it easy to log in to my ASM, and lots of prebuilt roles from the company."
"The most valuable feature is the log monitoring."
"The features I have found most valuable are it capabilities for behavioral analytics and anomaly detection."
"ArcSight Analytics has improved our system and network policy monitoring."
"The solution is easy to implement."
"ArcSight Analytics is used to get a deeper insight and threat analysis about the network."
"Great for scaling productivity for log monitoring purposes."
"Has a great search capability."
"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"The User Behavior Analytics is a built-in threat-hunting feature. It detects and reports on any kind of malware or ransomware that enters the network."
"The solution is quite stable and offers good performance. It also works on a virtual machine. We haven't found any issues with it so far. It's been reliable."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"The response time on queries is super-fast."
"I like the MITRE table, a feature I saw for the first time in the same solution. There was one MITRE tactic table, which can be used to identify threats if you have all kinds of rules enabled or if you have rules for all the tactics in the MITRE table. There are 14 tables in MITRE, and those 14 tables consist of multiple columns, tactics, and techniques. It was one of the first SIEM tools I saw that had that particular MITRE table. On that basis, you can create new rules and identify existing ones. At any point, if an alert is triggered, it will try to match it to any of those MITRE tactics. I liked that creating a workbook on MITRE business was straightforward. I also like that you can search using SQL or DQL."
"I faced stability issues with Windows Operating System. The installed connectors hang if they remain idle for a long period of time."
"I would like to see integration with automation products, such as Phantom Automation."
"I would like to see orchestration."
"The interactive dashboard is complicated and you need to have training in order to use it, so I think that it could be made easier to use."
"The customer service could be improved, and additional integrations with other APIs could be added."
"[There is] complexity in maintaining it and managing it. It's not easy to use. It requires a lot of training."
"It's a difficult product to navigate, it's complex."
"The GUI interface is not always intuitive and easy for non-technical users to work with."
"I think DNIF HYPERCLOUD can implement the ability to export more than 100,000. At the moment, we can't go beyond that. So many times, if you're checking for the firewall logs and working on something related to authentication or network-related traffic, while that log count is low, the account goes beyond that. You can't restrict the logs or the amount of data you can export. It's very important for my situation. It would be better if they could increase the capacity of exports. Although there are many more types of searching in DNIF HYPERCLOUD, people still struggle to query out what they want because not everyone is good at SQL or DQL. The easiest way to query out in DNIF is using the GUI-based interface. But in the GUI interface, you can use operator calls. It gets tricky when you want to search for a specific type of event. You don't know where it will be passed and whether it will be consistent. In the initial phase, it's tough for us to use DNIF. You cannot pass every event in a stable DNIF. When we used that particular tool, we used to get those logs, but sometimes many things are not getting passed. So, we used to export the sheet or export the data into Excel and weigh the required details. In the next release, I would like them to improve the export of the columns and make the application more user-friendly. I would also like a threat-hunting feature in the next release."
"The solution's command line should be simpler so that routine commands can be used."
"Dependency on the DNIF support team was frustrating."
"The vendor is fairly new and it's not as big as some of the international competitors. It's not a mature product. If you ask them to move data, it might take a lot of time."
"The solution should be able to connect to endpoints, such as desktops and laptops... If this solution had a smart connector to these logs- Windows, Linux, or any other logs - without affecting the performance of the connector, that would be wonderful."
"The EBA could be improved."
"There are currently some issues with machine learning plug-ins."
ArcSight Analytics is ranked 16th in User Entity Behavior Analytics (UEBA) with 15 reviews while DNIF HYPERCLOUD is ranked 9th in User Entity Behavior Analytics (UEBA) with 7 reviews. ArcSight Analytics is rated 7.0, while DNIF HYPERCLOUD is rated 7.6. The top reviewer of ArcSight Analytics writes "It has improved our system and network policy monitoring". On the other hand, the top reviewer of DNIF HYPERCLOUD writes "Development from open sources is very valuable but a huge infrastructure is required". ArcSight Analytics is most compared with Securonix UEBA, whereas DNIF HYPERCLOUD is most compared with IBM Security QRadar, Splunk Enterprise Security, Microsoft Sentinel and Wazuh. See our ArcSight Analytics vs. DNIF HYPERCLOUD report.
See our list of best User Entity Behavior Analytics (UEBA) vendors.
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.
