DNIF HYPERCLOUD vs Oracle Security Monitoring and Analytics Cloud Service comparison

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Executive Summary

We performed a comparison between DNIF HYPERCLOUD and Oracle Security Monitoring and Analytics Cloud Service based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Splunk, Wazuh and others in Security Information and Event Management (SIEM).
To learn more, read our detailed Security Information and Event Management (SIEM) Report (Updated: April 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The log analysis is excellent; it can predict what can or will happen regarding use patterns and vulnerabilities.""We are able to deploy within half an hour and we only require one person to complete the implementation.""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.""The product can integrate with any device.""The data connectors that Microsoft Sentinel provides are easy to integrate when we work with a Microsoft agent.""I've worked on most of the top SIEM solutions, and Sentinel has an edge in most areas. For example, it has built-in SOAR capabilities, allowing you to run playbooks automatically. Other vendors typically offer SOAR as a separate licensed solution or module, but you get it free with Sentinel. In-depth incident integration is available out of the box.""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.""Sentinel's most important feature is the ability to centralize all the logs in one place. There's no need to search multiple systems for information."

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"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.""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 response time on queries is super-fast.""Great for scaling productivity for log monitoring purposes.""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 dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies.""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."

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"The security level that they are maintaining with the pre-authentication keys is very good."

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Cons
"Given that I am in the small business space, I wish they would make it easier to operate Sentinel without being a Sentinel expert. Examples of things that could be easier are creating alerts and automations from scratch and designing workbooks.""If we want to use more features, we have to pay more. There are multiple solutions on the cloud itself, but the pricing model package isn't consistent, which is confusing to clients.""I would like to see more AI used in processes.""For certain vendors, some of the data that Microsoft Sentinel captures is redacted due to privacy reasons.""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.""Sometimes, it is hard for us to estimate the costs of Microsoft Sentinel.""The reporting could be more structured.""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."

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"The solution's command line should be simpler so that routine commands can be used.""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.""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 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."

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"The solution could improve by providing better documentation for beginners to learn, such as videos or other tutorials."

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Pricing and Cost Advice
  • "It comes with a Microsoft subscription which the customer has, so they don't have to invest somewhere else."
  • "It is a consumption-based license model. bands at 100, 200, 400 GB per day etc. Azure Sentinel Pricing | Microsoft Azure"
  • "Good monthly operational cost model for the detection and response outcomes delivered, M365 logs don't count toward the limits which is a good benefit."
  • "I have had mixed feedback. At one point, I heard a client say that it sometimes seems more expensive. Most of the clients are on Office 365 or M365, and they are forced to take Azure SIEM because of the integration."
  • "It is kind of like a sliding scale. There are different tiers of pricing that go from $100 per day up to $3,500 per day. So, it just kind of depends on how much data is being stored. There can be additional costs to the standard license other than the additional data. It just kind of depends on what other services you're spinning up in Azure, or if you're using something like Azure log analytics."
  • "I am just paying for the log space with Azure Sentinel. It costs us about $2,000 a month. Most of the logs are free. We are only paying money for Azure Firewall logs because email logs or Azure AD logs are free to use for us."
  • "Sentinel is a bit expensive. If you can figure a way of configuring it to meet your needs, then you can find a way around the cost."
  • "Azure Sentinel is very costly, or at least it appears to be very costly. The costs vary based on your ingestion and your retention charges."
  • More Microsoft Sentinel Pricing and Cost Advice →

  • "The pricing is based on the log size."
  • "The solution requires a huge infrastructure and that is costly."
  • More DNIF HYPERCLOUD Pricing and Cost Advice →

  • "The solution is not expensive for the data security measure you receive, it is reasonable."
  • More Oracle Security Monitoring and Analytics Cloud Service Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Yes, Azure Sentinel is a SIEM on the Cloud. Multiple data sources can be uploaded and analyzed with Azure Sentinel and… more »
    Top Answer:It would really depend on (1) which logs you need to ingest and (2) what are your use cases Splunk is easy for… more »
    Top Answer:We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is… more »
    Top Answer:The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and… more »
    Top Answer:The EBA could be improved. The graphs and kill chain are not operational most of the time. Some dashboards are not… more »
    Top Answer:In our project, we are mostly using authentication activities, real-time notification & alerting, log correlation &amp… more »
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    Comparisons
    Also Known As
    Azure Sentinel
    SMA Cloud Service
    Learn More
    Overview

    Microsoft Sentinel is a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution that lets you see and stop threats before they cause harm. Microsoft Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response. Eliminate security infrastructure setup and maintenance, and elastically scale to meet your security needs—while reducing IT costs. With Microsoft Sentinel, you can:

    - Collect data at cloud scale—across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds

    - Detect previously uncovered threats and minimize false positives using analytics and unparalleled threat intelligence from Microsoft

    - Investigate threats with AI and hunt suspicious activities at scale, tapping into decades of cybersecurity work at Microsoft

    - Respond to incidents rapidly with built-in orchestration and automation of common tasks

    To learn more about our solution, ask questions, and share feedback, join our Microsoft Security, Compliance and Identity Community.

    DNIF HYPERCLOUD is a cloud native platform that brings the functionality of SIEM, UEBA and SOAR into a single continuous workflow to solve cybersecurity challenges at scale. DNIF HYPERCLOUD is the flagship SaaS platform from NETMONASTERY that delivers key detection functionality using big data analytics and machine learning. NETMONASTERY aims to deliver a platform that helps customers in ingesting machine data and automatically identify anomalies in these data streams using machine learning and outlier detection algorithms. The objective is to make it easy for untrained engineers and analysts to use the platform and extract benefit reliably and efficiently.

    Oracle Security Monitoring and Analytics Cloud Service is a comprehensive solution designed to provide organizations with advanced threat detection and response capabilities. This cloud-based service leverages machine learning and artificial intelligence to analyze vast amounts of security data in real time, enabling proactive identification and mitigation of potential threats. 

    With Oracle Security Monitoring and Analytics Cloud Service, organizations can gain deep visibility into their entire IT infrastructure, including on-premises and cloud environments. The service collects and correlates security data from various sources, such as logs, network traffic, and endpoint telemetry, to provide a holistic view of the security posture. The product's advanced analytics capabilities of this service enable the detection of both known and unknown threats. 

    By applying machine learning algorithms to the collected data, Oracle Security Monitoring and Analytics Cloud Service can identify patterns and anomalies that may indicate malicious activities. This proactive approach helps organizations stay ahead of emerging threats and minimize the risk of data breaches. 

    In addition to threat detection, this service also offers comprehensive incident response capabilities. When a potential threat is identified, Oracle Security Monitoring and Analytics Cloud Service provides detailed alerts and actionable insights to guide security teams in their response efforts. The service also offers automated response actions, allowing organizations to quickly contain and mitigate the impact of a security incident. 

    The product is built on a scalable and resilient cloud infrastructure, ensuring high availability and performance. The service integrates seamlessly with other Oracle security products, such as Oracle Identity and Access Management, to provide a comprehensive security ecosystem. 

    Sample Customers
    Microsoft Sentinel is trusted by companies of all sizes including ABM, ASOS, Uniper, First West Credit Union, Avanade, and more.
    Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
    Information Not Available
    Top Industries
    REVIEWERS
    Financial Services Firm22%
    Computer Software Company11%
    Manufacturing Company8%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm10%
    Government9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm15%
    Real Estate/Law Firm11%
    Construction Company10%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company14%
    Educational Organization6%
    Comms Service Provider6%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise21%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise16%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business29%
    Midsize Enterprise15%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise10%
    Large Enterprise64%
    Buyer's Guide
    Security Information and Event Management (SIEM)
    April 2024
    Find out what your peers are saying about Microsoft, Splunk, Wazuh and others in Security Information and Event Management (SIEM). Updated: April 2024.
    768,578 professionals have used our research since 2012.

    DNIF HYPERCLOUD is ranked 22nd in Security Information and Event Management (SIEM) with 7 reviews while Oracle Security Monitoring and Analytics Cloud Service is ranked 43rd in Security Information and Event Management (SIEM). DNIF HYPERCLOUD is rated 7.6, while Oracle Security Monitoring and Analytics Cloud Service is rated 7.0. 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 Oracle Security Monitoring and Analytics Cloud Service writes " Easy to install, highly secure standards, and reliable". DNIF HYPERCLOUD is most compared with IBM Security QRadar, Splunk Enterprise Security and Wazuh, whereas Oracle Security Monitoring and Analytics Cloud Service is most compared with AWS Security Hub, LogRhythm SIEM, IBM Security QRadar, Exabeam Fusion SIEM and ArcSight Enterprise Security Manager (ESM).

    See our list of best Security Information and Event Management (SIEM) vendors and best User Entity Behavior Analytics (UEBA) 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.