Ivanti Neurons for UEM Reviews

My main use case for Ivanti Neurons for UEM includes several use cases that depend on the team level where I am leading and the period. One example is device provisioning, where we're trying to implement a sort of touchless deployment using Autopilot and Apple Business Manager. Another use case is patch management for deploying Windows updates, OS updates, and rollouts. Additionally, I focus on software inventory to track installed applications and license usage, compliance management to enforce encryption, password, firewall, and security configuration, as well as asset management for maintaining real-time inventory. We have more than 20 different use cases for this tool.

One typical example of how I use Ivanti Neurons for UEM in my daily work is during the onboarding of a new employee. For instance, when an engineer in a country is hired, we receive a Windows laptop directly from the manufacturer, and when they turn it on and connect to the internet, Windows Autopilot enrolls the device into Ivanti Neurons for UEM automatically. Ivanti Neurons for UEM applies various security policies, such as defender and password rules, installs all required applications such as MS 365, Teams, and Slack, and configures the Wi-Fi and VPN profiler while verifying compliance before granting access to corporate resources.

This onboarding example is just one scenario; as I mentioned before, we have more than 20 different use cases. On a scale of one to ten, I would rate Ivanti Neurons for UEM an eight.

The positive impact of Ivanti Neurons for UEM on my organization is evident across different departments. From a management perspective, I see much better visibility of our inventory and compliance dashboards. We improve IT processes, significantly reducing workload through automated provisioning and policy enforcement, which decreases manual work by approximately 45%. I believe we've also enhanced our security, although I don't have exact percentages. Operationally, we establish standardized processes that globally reduce configuration drift and user experience inconsistencies, which overall helps reduce operational overhead, improves endpoint security and compliance, and provides a more consistent experience for both IT administrators and end users.

I can share a specific example of how this made a big difference for our team. Before using Ivanti Neurons for UEM, every new laptop required an administrator to manually install 10 to 12 or more business applications and configure VPN, Wi-Fi, and security policies, taking up to five hours per device. After implementing Ivanti Neurons for UEM, laptops are shipped directly to the employee, and with Autopilot, devices are automatically enrolled, applying all policies and installations. We manage over 1,000 new devices per year, saving more than 1,500 hours of manual IT work annually. I consider this one of the most successful outcomes of our implementation.

The best features Ivanti Neurons for UEM offers are definitely related to having one console to manage various operating systems such as Windows, macOS, and iOS, which allows for holistic control. I would say another standout feature is its simple and user-friendly single policy engine that enables us to create compliance and security policies applied to different devices easily. Good remote device management is another feature, as it allows us to remotely perform typical actions such as restart and sync, and lastly, the automation and self-healing capabilities support issue detection and workflow triggers, significantly reducing manual tasks.

Managing multiple device types through the unified interface of Ivanti Neurons for UEM definitely makes life easier for our colleagues, and we calculate it simplified around 30% of their work. This means employees can focus on different tasks and perform efficiently with a very friendly interface in the tool, resulting in high satisfaction overall.

In terms of how Ivanti Neurons for UEM can be improved, I think there's potential for automation of some repetitive tasks. The device provisioning process has already become very close to zero-touch, but the patch deployment is still scheduled and policy-driven. As a result, I believe we can reduce endpoint administration further. I also think the number of integrations and the scalability of the tool can be improved, along with customer service, as we've encountered some issues in certain countries.

Regarding the needed improvements, particularly concerning integrations or customer service challenges, we have had problems with integration with some third-party tools requiring additional configuration and testing. Occasionally, we also experienced delays between systems, particularly with user group changes and device compliance updates.

The accuracy and reliability of output from Ivanti's AI can be improved. We notice that the AI-driven insights are useful, but there are anomalies and some false positives. Since we are still in a validation period, I cannot provide a definitive mark, but I believe that accuracy should be enhanced, especially for more complex and environment-specific issues where human intervention is still needed.

I have been using Ivanti Neurons for UEM for more than one year and a half.

I chose an eight for my rating because the tool is pretty stable, and we are satisfied with its performance. It delivers very good UEM capabilities, but as I mentioned earlier, support and some complex issues can take time to resolve, while integrations require considerable effort to configure and expand. These factors keep me from giving it a perfect score of 10.

In terms of how Ivanti Neurons for UEM can be improved, I think there's potential for automation of some repetitive tasks. The device provisioning process has already become very close to zero-touch, but the patch deployment is still scheduled and policy-driven. As a result, I believe we can reduce endpoint administration further. I also think the number of integrations and the scalability of the tool can be improved, along with customer service, as we've encountered some issues in certain countries.

Regarding the needed improvements, particularly concerning integrations or customer service challenges, we have had problems with integration with some third-party tools requiring additional configuration and testing. Occasionally, we also experienced delays between systems, particularly with user group changes and device compliance updates.

I considered several other options before choosing Ivanti Neurons for UEM.

In my organization, Ivanti Neurons for UEM is deployed primarily on the cloud; we utilize a SaaS cloud solution. We start with a pilot program involving about 300 users across IT and other business units before expanding globally. We integrate it with several Windows applications as well as with Apple and Android. During the initial setup, devices are enrolled, receive security policies, applications, and network configuration automatically.

We actually use several cloud providers for our Ivanti Neurons for UEM deployment, with Microsoft Azure being one of the largest solutions we utilize.

I considered several other options before choosing Ivanti Neurons for UEM.

The positive impact of Ivanti Neurons for UEM on my organization is evident across different departments. From a management perspective, I see much better visibility of our inventory and compliance dashboards. We improve IT processes, significantly reducing workload through automated provisioning and policy enforcement, which decreases manual work by approximately 45%. I believe we've also enhanced our security, although I don't have exact percentages. Operationally, we establish standardized processes that globally reduce configuration drift and user experience inconsistencies, which overall helps reduce operational overhead, improves endpoint security and compliance, and provides a more consistent experience for both IT administrators and end users.

I can share a specific example of how this made a big difference for our team. Before using Ivanti Neurons for UEM, every new laptop required an administrator to manually install 10 to 12 or more business applications and configure VPN, Wi-Fi, and security policies, taking up to five hours per device. After implementing Ivanti Neurons for UEM, laptops are shipped directly to the employee, and with Autopilot, devices are automatically enrolled, applying all policies and installations. We manage over 1,000 new devices per year, saving more than 1,500 hours of manual IT work annually. I consider this one of the most successful outcomes of our implementation.

Regarding the AI capabilities of Ivanti Neurons for UEM, I think its governance and security are quite good. We use it to enforce policies such as role-based access control and restrict certain administrator permissions. We manage certifications, BitLocker, and file vault encryption while maintaining audit logs for administrative actions, which meet our corporate standards effectively.

The accuracy and reliability of output from Ivanti's AI can be improved. We notice that the AI-driven insights are useful, but there are anomalies and some false positives. Since we are still in a validation period, I cannot provide a definitive mark, but I believe that accuracy should be enhanced, especially for more complex and environment-specific issues where human intervention is still needed.

Ivanti's unified platform for IT and security operations has helped streamline processes in several specific scenarios. I have used Ivanti's autonomous patching feature for the past two months, and it has significantly helped us maintain continuous patch compliance. It provides real-time visibility into which devices are missing operating system and third-party application updates, allowing us to create deployment rings for phased rollouts and automate reports on compliance levels. Compared to our prior setup, the consistency is remarkably high now that we have the patch compliance feature.

I assess Ivanti's trust-building process of AI in my organization as very high, even though, as I previously mentioned, there are still biases to address and improvements in accuracy needed. I would rate Ivanti Neurons for UEM an eight overall.

My client wanted to move to Microsoft 365, so they wanted their workplace to be Intune managed. They moved from their own managed solution called Ivanti Neurons for UEM to Microsoft Intune, and I guided that migration.

I gathered all the policies, applications, and workspace settings that were currently or previously configured inside Ivanti Neurons for UEM. Then I made a gap analysis to our Axians baseline and provided the gap to the customer so that they could improve their adoption and prepare end users for the change. After that, we deployed Microsoft Intune, configured Microsoft Intune, and shifted all laptops towards Microsoft Intune.

The company involved around 400 to 500 end users. We did a phased migration over the course of two months rather than a big bang in one weekend. It also involved an exchange migration and other things, so it was not only Ivanti Neurons for UEM.

Ivanti Neurons for UEM is a solid product, but I believe that Microsoft Intune offers much more in-depth integration with the complete IT package. Personally, I would recommend Microsoft Intune.

Ivanti Neurons for UEM is known for its automation processes and how to tie everything together. I suppose that is actually quite nice for doing incremental automation. However, my job was not to review Ivanti Neurons for UEM and recommend that specific solution, but rather to move away from it.

I noticed that the app packaging is a bit different, and with the automation, the incrementals work differently than with Microsoft Intune where the scripts get deployed immediately. I think that Ivanti Neurons for UEM is nicer for automation, but overall, it is different. I did not use it in depth because I was primarily focused on the migration moving away from it.

The deployment time was pretty significant, but I do not know if that is due to the customer settings, the configuration of the customer architecture, or if it is because Ivanti Neurons for UEM has that characteristic as a product. I cannot really tell what my opinion on it is because I do not know the reason behind it.

I have used Ivanti Neurons for UEM only one time.

I did not experience any stability issues.

I did not experience any scalability issues. As a Microsoft consultant, I think Intune is always going to win over anything else if the client is already paying for an E3 or E5 license. Personally, I would not recommend another solution for that purpose unless you are going to integrate it with your own workspace management solution.

Ivanti Neurons for UEM provided me with a link that I could log into, and I do not know what the backend of that link was. They off-boarded and decommissioned their environment after the migration themselves, and I never got through to the backend. They provided me with a link where I could see all the settings and get the gap analysis. I never changed anything within Ivanti Neurons for UEM itself.

Microsoft 365 E5 license already includes Intune, and E3 also includes it, but this client had E5 in particular. By moving to Intune, they were able to save the complete cost for Ivanti Neurons for UEM and put it towards something they were already paying for. Additionally, they improved enrollment deployment time significantly. I do not remember the exact previous timeframe, but the deployment was pretty significant. Now they can deploy laptops in an hour and can even give the task to end users.

Ivanti Neurons for UEM provided me with a link that I could log into, and I do not know what the backend of that link was. They off-boarded and decommissioned their environment after the migration themselves, and I never got through to the backend.

From my perspective of having just moved away from the product, I would probably give it a six. However, I could not give valuable feedback about really using the product.

It seems solid enough to give a grade that is acceptable because it is not a bad product. For E3 or E5, it is much better to move to Intune. I do not think any MDM tool can score better than a six.

The return on investment is substantial. The client was already paying for Microsoft Intune and was able to decommission Ivanti Neurons for UEM.

I would advise them to move to Microsoft Intune.

Ivanti Neurons for UEM had a public cloud thing that I could log into and see all the settings.

I do not know if Ivanti Neurons for UEM provides a comprehensive system of record because I did not use it in an operational way. I gathered all the settings, all configuration settings that were in place, and all scripts, then made a gap analysis. After that, I rebuilt what was necessary in Microsoft Intune and did not rebuild what was not necessary. I mostly used the Axians baseline for Microsoft Intune. I could not tell about vulnerability or operational data governance.

I have not used Ivanti Neurons for UEM's autonomous patching feature. Ivanti Neurons for UEM did deployments for the end users.

I do not have experience with Always-on patch or other operational features. I only have knowledge about the shift to Microsoft Intune and the Microsoft 365 E3 and E5 licenses.

I gave this product a review rating of six out of ten.

My main use case for Ivanti Neurons for UEM is processing incidents and implementing changes for documentation and fixing IT problems that occur during the day.

A recent incident I handled involved a server file that was completely full with no remaining storage. I had to free up storage space to resolve the issue. Daily operational issues include managing file storage size and restarting services when they go down. I receive tickets automatically, process them, and close them.

We use Ivanti Neurons for UEM across our entire IT company and department. We also have a dashboard that shows all organizational units of the IT department, displaying how many tickets, incidents, changes, and requests each has, how many are closed, and how many are pending.

The best features Ivanti Neurons for UEM offers include automation capabilities that help reduce manual work and improve efficiency. The solution is stable in day-to-day operations, and the integration between ticket management and other ITSM processes works effectively.

Ivanti Neurons for UEM has positively impacted my organization, as we had a positive experience with Ivanti Neurons for ITSM. The platform is highly customizable and allows us to adapt workflows, forms, and processes to our organization's needs. With the help of ITSM, we can ensure the operative business of our IT department and our insurance company.

Specific outcomes that show how Ivanti Neurons for UEM has improved my organization include the ability to reduce response time. ITSM performs effectively, and the improvements mentioned can be applied to our reality.

Ivanti Neurons for UEM can be improved by providing a clearer overview of the relationship between organizational units and teams, which would make administration easier. The ticket closure workflow should be streamlined so that resolution documentation only needs to be entered once and is automatically carried forward to ticket closure. Further improvements to the user interface and navigation would make the platform easier to use, especially for administrators and new users.

Regarding team administration improvements, we need a clearer overview. Currently, we have to navigate through several configuration areas to find information. The ticket resolution workflow requires duplicate documentation, which does not add value and increases the time required to process tickets.

Another area to improve is the visibility of the organizational structure. Currently, it is not easy to see which teams belong to which organizational unit, making administration and troubleshooting more difficult.

I have been working in my current field for ten years.

Ivanti Neurons for UEM is completely stable and always available.

I do not work with customer support for ITSM as I am only a user.

I did not previously use a different solution. We are happy with ITSM and have been using it for years, so we will not change this ticket system.

I have not seen a return on investment.

I do not have any experience with pricing, setup cost, and licensing. I do not even know how much we paid because I am only a user and am not responsible for this tool.

My main advice for others looking into using Ivanti Neurons for UEM is to spend enough time on the initial design and implementation. Define your process, roles, and workflows before customizing the platform. A well-planned implementation will save a lot of time and effort later. Avoid over-customizing the system unless it is really necessary. Ivanti Neurons for UEM offers many configuration options, but staying as close as possible to the standard functionality makes future upgrades and maintenance much easier. I would rate this product a seven out of ten.

As a threat hunter, I have integrated Ivanti Neurons for UEM for our clients, and I have been working with it for around one year and eight months.

I rely on Ivanti Neurons for UEM primarily for centralized device management and policy enforcement. We can also handle asset inventory, automation, security, and compliance.

A common part of my daily routine is using Ivanti Neurons for UEM to verify that managed endpoints are compliant with our organization policies. If a Windows laptop is missing or requires a security configuration such as BitLocker not being enabled or an outdated antivirus version, the device is automatically flagged as non-compliant. I can review the device status from the console, trigger the necessary remediation actions, and confirm once the endpoint returns to a compliant state. The centralized visibility helps us reduce manual effort and ensures the device consistently meets our security baseline.

Beyond routine day-to-day tasks, I primarily use Ivanti Neurons for UEM to monitor endpoint compliance, verify device health, check software and patch status, and help troubleshoot managed endpoints. Having everything centralized saves time and makes it easier to maintain a consistent security posture across the environment.

The standout features of Ivanti Neurons for UEM in my experience are centralized device management, policy enforcement, software deployment, patch management, endpoint visibility, and automation. Together, these features simplify endpoint administration, improve compliance, and reduce the time spent on routine management tasks.

Ivanti Neurons for UEM has positively impacted my organization by enabling faster patch deployment, quicker identification of non-compliant devices, and less time spent on manual endpoint administration. We likely save around three to five hours per week on routine endpoint management and compliance checks since using Ivanti Neurons for UEM.

Patch management has made the biggest difference for me. Instead of manually tracking which devices are missing critical updates, I can see the patch status across the managed endpoints from a central console and deploy updates to groups of devices with minimum effort. This reduces the risk of systems remaining vulnerable due to missed patches and saves a significant amount of administrative time. Compared to similar UEM tools, what stands out is how patch management is integrated with inventory, compliance, and policy enforcement in the same platform. Rather than switching between multiple tools, I can access device health, identify missing updates, deploy patches, and verify compliance from one interface, making the overall workflow more efficient.

One feature I find particularly useful is the unified visibility across endpoints. Having device inventory, compliance status, and software information available in the patch status from a single console makes it easier to troubleshoot devices and identify devices that need attention.

Ivanti's unified platform for IT and security operations has helped streamline processes, particularly in finding endpoints that have issues with patch management, enabling us to reduce work hours.

Ivanti's always-on patch compliance has a positive impact on my organization's ability to manage vulnerabilities by helping ensure endpoints receive critical updates promptly and remain compliant with security policies. It improves visibility into missing patches and reduces the window of exposure to known vulnerabilities.

The biggest improvement I would like to see in Ivanti Neurons for UEM is a more intuitive interface with simpler navigation for common tasks. Customizable reporting and broader third-party integrations would also make the platform more efficient for day-to-day endpoint management.

Overall, I think Ivanti Neurons for UEM has strong governance and security through role-based access controls, policy enforcement, and audit logging. I would just like to see more transparency into AI recommendations and finer control over AI-driven actions.

I have been working in my current field for around one year and eight months.

Ivanti Neurons for UEM is stable.

Ivanti Neurons for UEM's scalability is great.

The customer support is excellent.

Previously, we were using a different solution, but we shifted towards Ivanti because we saw that Ivanti is providing the quality that the previous solution was not offering.

My experience with pricing, setup cost, and licensing for Ivanti Neurons for UEM was smooth, and we did not face any issues with that.

We have seen a great return on investment with Ivanti Neurons for UEM. We have used three fewer people than usual, which helped us save around three to five hours.

I did not evaluate other options before choosing Ivanti Neurons for UEM.

My impression of Ivanti's ability to provide a comprehensive system of record that brings together asset, vulnerability, service, and relationship data is positive. Having asset vulnerability and device information in a centralized platform improves my visibility and helps prioritize remediation more effectively. Bringing the data together reduces the need to switch between multiple tools and makes IT and security workflows more efficient, though there is always room for deeper integrations and more customizable reporting.

I have used Ivanti's autonomous patching feature, and it has really helped me with maintaining continuous patch compliance in my organization.

I did not face any challenges in assessing the trust-building process of Ivanti's AI, from assist to advise to full automation in my organization.

We use the feature that consolidates devices, risks, and services data into one view in our daily operations, and it has helped us save a lot of time.

I would advise other organizations to use Ivanti Neurons for UEM in their organizations to help them save money and time. I rate this solution a nine out of ten.

My primary use case for Ivanti Neurons for UEM is centralized endpoint management in our environment. I use it to monitor and manage laptops, desktops, and mobile devices from a single console, handling tasks such as software deployment.

My day-to-day responsibility is centralized endpoint management. I use Ivanti Neurons for UEM to handle critical patch updates for multiple endpoints by identifying devices with missing security patches from the dashboard, creating a deployment job, and pushing updates to affected systems.

Ivanti Neurons for UEM helps me track compliance and quickly troubleshoot any failed installations from the console.

The best features Ivanti Neurons for UEM offers include getting all the missing security patches on a single dashboard of all the endpoints. This is a very good aspect of Ivanti Neurons for UEM, along with real-time endpoint visibility, automation, and centralized management.

AI-powered automation and self-healing are additional features that automatically fix common issues and reduce manual work. Ivanti Neurons for UEM has impacted my organization positively by reducing the manual work we previously had significantly. Because of the AI-powered automation, it fixes the issues on its own, and I don't need to constantly intervene. Plus, the endpoint visibility is excellent since when I see the dashboard, I know what is happening inside all the endpoints.

Ivanti Neurons for UEM definitely brings together all my asset, vulnerability, and service data very well, giving me visibility across all the endpoints, which is a really great aspect of Ivanti.

Regarding Ivanti's autonomous patching feature, it auto-fixes any sort of patch across all endpoints, so I don't need to manually do it. I have definitely used the Ivanti patching feature, which allows me to identify missing OS and third-party patches.

Ivanti's unified platform for IT and security operations significantly helped me streamline multiple processes, especially patch management and device monitoring. Earlier, updating and checking each system was manual and time-consuming, but with Ivanti, everything is done centrally and with automated releases.

I would assess the impact of Ivanti's always-on patch compliance on my organization's ability to manage vulnerabilities as quite positive.

I definitely use the feature that shows devices, risks, and services all in one dashboard. This all-in-one feature gives me better visibility across all the endpoints. I know what is happening with each endpoint, and it keeps the endpoint compliant.

Regarding how Ivanti Neurons for UEM can be improved, the dashboard can be quite complex for first-time users and even small-scale organizations.

Additionally, the user interface needs improvement as it is somewhat complex for first-time users.

I have been using Ivanti Neurons for UEM for more than one year.

Ivanti Neurons for UEM is stable.

Ivanti Neurons for UEM's scalability is quite good.

The customer support for Ivanti Neurons for UEM is good.

I did previously use a different solution and went through multiple options. I have used Microsoft Intune and VMware, and compared to them, Ivanti stood out in terms of automation and patch management.

I have definitely seen a return on investment with Ivanti Neurons for UEM, mainly through time savings and reducing manual effort. Tasks such as patching, software deployment, and troubleshooting that earlier took hours are now done in minutes.

The pricing for Ivanti Neurons for UEM can be somewhat on the moderate side, depending on the number of endpoints and devices. It depends, as it is a mid- to high-range enterprise solution.

Before choosing Ivanti Neurons for UEM, I evaluated other options including Microsoft Intune and VMware Workspace ONE.

I would advise others looking into using Ivanti Neurons for UEM that it is a great tool. I have analyzed multiple tools, but if you are looking for automation and patch management, I feel you should go with Ivanti Neurons for UEM. I have covered everything about Ivanti Neurons for UEM, and I have no additional thoughts apart from this. My overall review rating for Ivanti Neurons for UEM is seven out of ten.

I use Ivanti Neurons for UEM for mobile device management, and I can describe the use case. The remote device management feature has helped our remote work strategy because manual intervention is not needed, allowing us to have real-time insights, policy enforcement, and strong security with patch management.

The real-time intelligence capabilities and self-healing capabilities are quite good, and those are the best features for Ivanti Neurons for UEM.

It integrates into InTune, which enables us to detect, diagnose, and fix issues without manual intervention. The real-time insights feature helps identify security threats.

I have not noticed any problems with AI-based automation in optimizing IT operations. The AI functionality that proactively secures and heals devices enables us to streamline the mobile device management, which is always beneficial.

The price being quite high and the limited container storage are areas that have room for improvement.

I have been using Ivanti Neurons for UEM for around eighteen months.

I rate the stability an eight because it is fairly solid. Regarding the self-healing capabilities, I would say it has reduced downtime by around thirty to forty percent.

I would say the scalability is probably an eight as well.

I rate technical support an eight because I think we have not had to deal with them often, but when we have, it has been fine.

The deployment is easy.

Regarding pricing, I would say Ivanti Neurons for UEM falls at a nine out of ten.

I compare Ivanti Neurons for UEM with other vendors, and it is similar to InTune but with a broader scope and more automation with the AI features.

My advice for others looking into this product is that if you are using only InTune for your device management, Ivanti Neurons for UEM is certainly a more comprehensive solution if you are looking for something else, and I would recommend it. I am not aware of any maintenance that is required for Ivanti Neurons for UEM. Around fifty users use the solution. I would rate the solution overall an eight out of ten.