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DNIF HYPERCLOUD vs Quest Change Auditor Threat Detection comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

DNIF HYPERCLOUD
Ranking in User Entity Behavior Analytics (UEBA)
14th
Average Rating
7.6
Reviews Sentiment
6.6
Number of Reviews
8
Ranking in other categories
Log Management (35th), Security Information and Event Management (SIEM) (34th), Security Orchestration Automation and Response (SOAR) (19th)
Quest Change Auditor Threat...
Ranking in User Entity Behavior Analytics (UEBA)
31st
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the User Entity Behavior Analytics (UEBA) category, the mindshare of DNIF HYPERCLOUD is 1.9%, up from 1.6% compared to the previous year. The mindshare of Quest Change Auditor Threat Detection is 0.4%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
User Entity Behavior Analytics (UEBA)
 

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.
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
12%
Real Estate/Law Firm
11%
Construction Company
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about DNIF HYPERCLOUD?
The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies.
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....
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Overview

 

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
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Find out what your peers are saying about IBM, Exabeam, Rapid7 and others in User Entity Behavior Analytics (UEBA). Updated: November 2024.
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