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DNIF HYPERCLOUD vs IBM Watson for Cyber Security comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 18, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

DNIF HYPERCLOUD
Ranking in Security Information and Event Management (SIEM)
52nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Log Management (52nd), User Entity Behavior Analytics (UEBA) (21st), Security Orchestration Automation and Response (SOAR) (25th)
IBM Watson for Cyber Security
Ranking in Security Information and Event Management (SIEM)
53rd
Average Rating
8.0
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Security Information and Event Management (SIEM) category, the mindshare of DNIF HYPERCLOUD is 0.4%, down from 0.4% compared to the previous year. The mindshare of IBM Watson for Cyber Security is 0.2%, down from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Information and Event Management (SIEM)
 

Featured Reviews

Kishore Tiwari - PeerSpot reviewer
Development from open sources is very valuable but a huge infrastructure is required
The solution's command line should be simpler so that routine commands can be used. The search configuration is a bit different than other OEMs or SIEM solutions like ArcSight or QRadar that are easy to search because they operate similarly. The logic is there and the solution supplies a pretty good explanation. Basically, DNIF spelled out is the opposite of FIND. You have to find commands whenever you want to search something. For example, a highway gets you to your destination but there is an alternate way people don't yet know about. Gartner or Forrester haven't yet studied it. We were a bit nervous when we were trying to get familiar with the solution. We wondered if we could realize ROI because the commands and ways of pulling data were different to us. We raised a case with the support team and their professionals provided the needed support. The command line is user friendly once you understand it. If you need immediate use, then you might want to get assistance from someone who is well-versed in methods for using key patterns to find things. Lengthier files for threat hunting or analysis are needed. The correlation happens, but exporting a large number of files to abstract them is not possible. For example, I want to present raw data to management so I should be able to customize a date range in my query and download the files.
Elena Stefanovska - PeerSpot reviewer
Knowledgeable support, reliable, and useful compliance policies
IBM Watson for Cyber Security can be deployed on-premise or in the cloud and it is used as a SIEM solution 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…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"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 response time on queries is super-fast."
"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."
"Has a great search capability."
"IBM Watson for Cyber Security is very stable."
"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."
 

Cons

"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 EBA could be improved."
"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."
"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"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."
"They need to continue to build the AI capabilities."
"The dashboard could improve in IBM Watson for Cyber Security."
"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."
 

Pricing and Cost Advice

"Price-wise, the product is quite economical. I rate the solution's price as three or four on a scale of one to ten, where one is considered to be a very economically priced tool."
"The solution requires a huge infrastructure and that is costly."
"The pricing is based on the log size."
"The price of this solution should be lower, although I understand why IBM charges a premium price."
"IBM Watson for Cyber Security is very simple to license and is priced well."
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Top Industries

By visitors reading reviews
Computer Software Company
19%
Financial Services Firm
14%
Media Company
9%
Real Estate/Law Firm
8%
Computer Software Company
19%
Financial Services Firm
17%
Manufacturing Company
15%
Media Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with DNIF HYPERCLOUD?
A lot of people don't know about DNIF HYPERCLOUD, but they do know about products like Splunk, QRadar, ArcSight, and some other SIEM solutions. DNIF is not a known name in the market. From an impro...
What is your primary use case for DNIF HYPERCLOUD?
DNIF HYPERCLOUD is a good SIEM solution. One of the tools' features is very high scalability in terms of the events generated per second. The product is aligned with the MITRE ATT&CK framework....
What advice do you have for others considering DNIF HYPERCLOUD?
The tool's ability in the area of its analytic capabilities has enhanced our company's security poster in a good way, especially when compared to some of the other competitors in the market, like S...
Ask a question
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Overview

 

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Information Not Available
Find out what your peers are saying about DNIF HYPERCLOUD vs. IBM Watson for Cyber Security and other solutions. Updated: January 2025.
838,713 professionals have used our research since 2012.