We performed a comparison between DNIF HYPERCLOUD and IBM Watson for Cyber Security based on real PeerSpot user reviews.
Find out what your peers are saying about Splunk, Microsoft, Wazuh and others in Security Information and Event Management (SIEM)."It is able to connect to an ever-growing number of platforms and systems within the Microsoft ecosystem, such as Azure Active Directory and Microsoft 365 or Office 365, as well as to external services and systems that can be brought in and managed. We can manage on-premises infrastructure. We can manage not just the things that are running in Azure in the public cloud, but through Azure Arc and the hybrid capabilities, we can monitor on-premises servers and endpoints. We can monitor VMware infrastructure, for instance, running as part of a hybrid environment."
"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."
"The pricing of the product is excellent."
"We are able to deploy within half an hour and we only require one person to complete the implementation."
"The solution has features that helped improve the security posture of our clients. It provides the ability to correlate a large variety of log sources very cost-effectively, especially for Microsoft sources."
"Free ingestion for Azure logs (with E5 licence)"
"It is quite efficient. It helps our clients in identifying their security issues and respond quickly. Our clients want to automate incident response and all those things."
"The features that stand out are the detection engine and its integration with multiple data sources."
"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 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."
"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 beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"Has a great search capability."
"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."
"Great for scaling productivity for log monitoring purposes."
"The most valuable features of IBM Watson for Cyber Security are ease of use and out-of-the-box reports and compliance policies. Additionally, if there are aspects that are missing IBM add them in the next release."
"The customer support is very good."
"The most valuable feature of this product is innovation, where the research and upgrading of technology never ends."
"IBM Watson for Cyber Security is very stable."
"There is room for improvement in entity behavior and the integration site."
"They can work on the EDR side of things... Every time we need to onboard these kinds of machines into the EDR, we need to do it with the help of Intune, to sync up the devices, and do the configuration. I'm looking for something on the EDR side that will reduce this kind of work."
"The playbook is a bit difficult and could be improved."
"If Azure Sentinel had the ability to ingest Azure services from different tenants into another tenant that was hosting Azure Sentinel, and not lose any metadata, that would be a huge benefit to a lot of companies."
"Sentinel can be used in two ways. With other tools like QRadar, I don't need to run queries. Using Sentinel requires users to learn KQL to run technical queries and check things. If they don't know KQL, they can't fully utilize the solution."
"The product can be improved by reducing the cost to use AI machine learning."
"The KQL query does not function effectively with Windows 11 machines, and in the majority of machine-based investigations, KQL queries are essential for organizing the data during investigations."
"We are invoiced according to the amount of data generated within each log."
"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."
"There are currently some issues with machine learning plug-ins."
"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 EBA could be improved."
"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."
"Dependency on the DNIF support team was frustrating."
"The solution's command line should be simpler so that routine commands can be used."
"In the future, I would like to see threat intelligence included."
"This is an expensive product, so making it more cost-effective would be an improvement."
"The dashboard could improve in IBM Watson for Cyber Security."
"They need to continue to build the AI capabilities."
More IBM Watson for Cyber Security Pricing and Cost Advice →
DNIF HYPERCLOUD is ranked 22nd in Security Information and Event Management (SIEM) with 7 reviews while IBM Watson for Cyber Security is ranked 45th in Security Information and Event Management (SIEM) with 4 reviews. DNIF HYPERCLOUD is rated 7.6, while IBM Watson for Cyber Security is rated 8.0. 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 IBM Watson for Cyber Security writes "An innovative and stable product that is well maintained and always up-to-date". DNIF HYPERCLOUD is most compared with IBM Security QRadar, Splunk Enterprise Security and Wazuh, whereas IBM Watson for Cyber Security is most compared with IBM Security QRadar, Splunk Enterprise Security and i-SIEM.
See our list of best Security Information and Event Management (SIEM) vendors.
We monitor all Security Information and Event Management (SIEM) 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.
