We performed a comparison between DNIF HYPERCLOUD and Siemplify based on real PeerSpot user reviews.
Find out in this report how the two Security Orchestration Automation and Response (SOAR) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The Identity Behavior tab furnishes us with the entire history linked to each IP or domain that has either accessed or attempted to access our system."
"I believe one of the main advantages is Microsoft Sentinel's seamless integration with other Microsoft products."
"The initial setup is very simple and straightforward."
"The analytic rule is the most valuable feature."
"The log query feature has been the most valuable because it's very good. You can put your data on the cloud and run queues from Sentinel. It will do it all very fast. I love that I don't have to upload it to an Excel file and then manually look for a piece of information. Sentinel is much faster and is good for big databases."
"The product can integrate with any device."
"The AI capability is one of the main features of the solution because I believe that in the market, there are few solutions that are providing security solutions based on AI and machine learning."
"I like the KQL query. It simplifies getting data from the table and seeing the logs. All you need to know are the table names. It's quite easy to build use cases by using KQL."
"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."
"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."
"Great for scaling productivity for log monitoring purposes."
"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 most valuable feature of Siemplify is the playbooks that can be created."
"Without hyperbole, I have never, in my entire career, encountered a vendor or a vendor community as awesome as Siemplify. Siemplify and the Siemplify Community quite literally made it possible for our SOC to increase almost five-fold in our number of clients and number of analysts and to go from a Monday to Friday 9-5 shop to a 24/7 shop all in the span of under a year and a half and all while continually adding capabilities and improving the services we offer to our clients."
"The playbooks feature in Siemplify is crucial for automation. We've utilized both standard and custom integrations with other security operation solutions, enhancing our flexibility. The user interface is generally straightforward, although recent changes may require some adjustment and Siemplify's integrations and capabilities offer potential support for various compliance requirements."
"We do see continuous improvement all the time, however, I haven't got a specific feature that is lacking or not well designed."
"We have been working with multiple customers, and every time we onboard a customer, we are missing an essential feature that surprisingly doesn't exist in Sentinel. We searched the forums and knowledge bases but couldn't find a solution. When you onboard new customers, you need to enable the data connectors. That part is easy, but you must create rules from scratch for every associated connector. You click "next," "next," "next," and it requires five clicks for each analytical rule. Imagine we have a customer with 150 rules."
"We are invoiced according to the amount of data generated within each log."
"The product can be improved by reducing the cost to use AI machine learning."
"Improvement-wise, I would like to see more integration with third-party solutions or old-school antivirus products that have some kind of logging capability. I wouldn't mind having that exposed within Sentinel. We do have situations where certain companies have bought licensing or have made an investment in a product, and that product will be there for the next two or three years. To be able to view information from those legacy products would be great. We can then better leverage the Sentinel solution and its capabilities."
"Azure Sentinel will be directly competing with tools such as Splunk or Qradar. These are very established kinds of a product that have been around for the last seven, eight years or more."
"If their UI was a bit more streamlined and easy to find when I need it, then that would be a great improvement."
"I can't think of anything other than just getting the name out there. I think a lot of customers don't fully understand the full capabilities of Azure Sentinel yet. It is kind of like when they're first starting to use Azure, it might not be something they first think about. So, they should just kind of get to the point where it is more widely used."
"There are currently some issues with machine learning plug-ins."
"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 solution's command line should be simpler so that routine commands can be used."
"The EBA could be improved."
"Dependency on the DNIF support team was frustrating."
"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."
"I'm inclined to say that I'd love to see some Machine Learning capabilities integrated into the platform, however, I just attended a demo this morning where Siemplify gave a sneak peek into some Machine Learning capabilities that they are currently developing and have roadmapped for release soon."
"We often encounter minor issues that could be improved, but we maintain communication with the developers and submit feature requests. Recently, I requested enhancements such as improved search functionality within playbooks and expanded options for exporting case data."
"Building the playbooks could be easier and the integration could improve. It is a difficult process, such as what API connections need to be made."
DNIF HYPERCLOUD is ranked 13th in Security Orchestration Automation and Response (SOAR) with 7 reviews while Siemplify is ranked 16th in Security Orchestration Automation and Response (SOAR) with 3 reviews. DNIF HYPERCLOUD is rated 7.6, while Siemplify is rated 8.6. The top reviewer of DNIF HYPERCLOUD writes "Development from open sources is very valuable but a huge infrastructure is required". On the other hand, the top reviewer of Siemplify writes "Great for reporting and ticketing for SOC MxDR client environments and has a great, supportive community". DNIF HYPERCLOUD is most compared with IBM Security QRadar, Splunk Enterprise Security, Wazuh and Rapid7 InsightOps, whereas Siemplify is most compared with Splunk SOAR, Palo Alto Networks Cortex XSOAR, ServiceNow Security Operations, Fortinet FortiSOAR and IBM Resilient. See our DNIF HYPERCLOUD vs. Siemplify report.
See our list of best Security Orchestration Automation and Response (SOAR) vendors.
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