Ivanti Autonomous Endpoint Management 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 migrated from their own managed solution called Ivanti Neurons for UEM to Microsoft Intune, and I guided that migration.

I couldn't really say how Ivanti Neurons for UEM impacted my organization or my client's organization positively because there wasn't a specific use case to move away from Ivanti Neurons for UEM because the product was bad. Rather, the motivation was to save money and move to a Microsoft managed solution because they were already paying for an E5 license suite, which saved a lot of money. That was the use case for my client, not that they were unhappy with the product itself.

Ivanti Neurons for UEM is known for its automation processes and how it ties everything together. I suppose it is quite nice how to do incremental automation.

I noticed that the app packaging is a bit different. With automation, the incremental approach works differently than with Microsoft Intune, where scripts get deployed immediately. I think Ivanti Neurons for UEM is better for automation, but overall it is different. I did not use it in-depth since I was primarily focused on migrating away from it.

You can save the complete cost for Ivanti Neurons for UEM and apply it to something you are already paying for. The client also experienced improved enrollment deployment time significantly. I do not remember the exact duration, but the improvement was substantial. Previously, deployment took much longer, and now they can do it in an hour. They can even give the task to end users.

Ivanti Neurons for UEM is solid. There is nothing really wrong with it. You can govern settings, create security policies, and everything is included. You can create automation and build your own custom solutions besides the built-in settings that Ivanti provides, so it is quite solid and not bad.

The deployment time was quite significant, as I stated earlier, but I do not know if that is due to the customer settings, the configuration of the customer's architecture, or if it is because Ivanti Neurons for UEM itself is just that way. I have no idea, so I could not really tell you what my opinion is on this, because I do not know the reason behind it. However, I do know what I have heard.

I have been using Ivanti Neurons for UEM only one time.

Ivanti Neurons for UEM is a solid product, but I believe that Microsoft Intune offers much more in-depth integration with the complete Microsoft package. Personally, I would not have another solution ready for that unless you are going to integrate it with your own workspace management solution.

I would advise to move to Intune. Ivanti Neurons for UEM seems solid enough to receive a passing grade because it is not a bad product. However, for E3 or E5, it is much better to move to Intune. I do not think you can score better than a six for any MDM tool. I give this product a rating of six.

My main use case for Ivanti Autonomous Endpoint Management is from an ITSM perspective, focusing on day-to-day activities and incident management, release management, change management, and service requests. We use it to support the client for their day-to-day issues.

For incident management or release management, we use Ivanti Autonomous Endpoint Management to work with our developers and the change team, where developers submit their tickets and requests in the event. We perform some automation and use AI to validate their tickets and what they actually want to release, whether they want to automate it or if it is manual deployment or automated deployment. All changes they are going to deploy are associated with this ticket. We also validate all items related to the summary, the content, test dividends, and what approvals we need to approve the ticket.

We use Ivanti Autonomous Endpoint Management to create dashboards that give clear clarity about day-to-day issues and incidents and who is working on what. We also use it for automation by extracting data to share reports through the client regarding their status on day-to-day issues and upcoming pending requests for priority ones, such as P1, P2, and P3. This is how we manage the SLA and provide prompt support on the issues to the client.

Ivanti Autonomous Endpoint Management offers features that are user-friendly, best to use, and not very complex. We can easily create a ticket and assign it to multiple teams and escalate it. We can also enter messages and comments, so end to end, it is a very easy tool for incident management or as an ITSM tool.

Regarding what makes it user-friendly, mainly when we raise the ticket, it automates and generates the alert. A ticket has been created, and through email, it has the functionality to record the user message and the client message. If something is pending or if they want to change any subject or requirement, users can add anything through email as well. Through email, they can directly open the tool for their ticket.

Feature-wise, it is easy to move to other modules to see the history and look for assigned tickets, and we can easily navigate through the tool. If there is any issue or a kind of priority ticket that is pending for a sign, it has the functionality to give a sideline, indicating these tickets are pending or that we need to take action promptly in the tool. This feature is good.

Ivanti Autonomous Endpoint Management impacts my organization positively, mainly through interaction with the client for day-to-day issues, particularly for P1, P2, and P3. Sometimes based on the priority basis, they revert on the ticket and respond. I work with the ION client, and that has been great. They share proper descriptions of what actions or resolutions will be there to resolve the issues. They also share complete BAM files to provide support at that level. It is more friendly and easy to interact with the tool and the client because it works end to end, and we promptly receive updates for P1. For P2 and P3, it takes sometimes six hours or one day, depending on who is available for support.

The positive impact for P1 issues, where servers go down and we are unable to open the environment, is that we raise the P1 ticket to the client so they can take remediation and provide proper RCA and support on that. Basically, for the P1 ticket, they support promptly, and that feature is great because they are available twenty-four-seven to provide the support.

Ivanti Autonomous Endpoint Management's output is reliable and accurate.

Ivanti Autonomous Endpoint Management provides a comprehensive system of record for asset, vulnerability, service, and relationship data. It records vulnerabilities and assets and the content for the tickets we raise. It also supports asset management and gives more clarity on particular assets, providing complete information that is easy to record, maintain, and update the status. The service is good, and concerning relationship data, we can relate multiple tables, and there are no issues. Syncing works fine. Sometimes we need to restart the server to log in for a new session, which is fine.

The end-to-end remediation process of Ivanti Autonomous Endpoint Management impacts the reduction of risks within my IT environment, particularly when we walk through the release ticket. We assess all the risks, and we have change management questionnaires. We validate all items and try to reduce risk by assessing based on automation, checking the code, reading the ticket to see what the user wants to release, and confirming approvals before proceeding with deployment. This helps maintain the ticket and fulfill audit and compliance requirements.

To improve Ivanti Autonomous Endpoint Management, I would suggest adding a feature to generate reports or extract some tickets for release data or day-to-day reports, which would be great. Sometimes there is a lag with the environment, and we need to refresh before using it. If we can improve that, it would be great.

Regarding needed improvements, the tool is working fine, but when we work with the client and provide support, there is a support team at the end. Sometimes they take time to provide proper remediation, and they look for the code and need more details from us. Sometimes this takes maybe one day or two, and we lose some priority SLAs. We would recommend that for P1, it should be resolved within two hours, but sometimes there are circumstances when it goes to six hours or even a day. That is a point for improvement.

I have used Ivanti Autonomous Endpoint Management at Infosys Limited for around one year.

There are no additional improvements needed for Ivanti Autonomous Endpoint Management beyond what we have discussed. Everything works well with Azure, and it is mainly on the cloud. Sometimes it requires a restart, which is also possible. Earlier it was hybrid, but recently it is on the cloud side and easy to maintain the tool and access it. We have not seen any downtime. Sometimes it is running slow, but that is fine.

Ivanti Autonomous Endpoint Management is stable and highly scalable. Whenever we need to add assets or functionality, it is easy to do so.

Customer support for Ivanti Autonomous Endpoint Management is really great. We receive good feedback on ticket management and maintaining inventory assets very well. We have not seen any issues. It provides clear reports and clean data.

I have not used a different solution because we have this tool. It works great and provides end-to-end functionality.

I have not worked on the return on investment aspect since we have separate teams for pricing and investments. However, at the end, it is really helpful when systems are up to date with licenses, with no glitches and no pending services, as it saves time and money in day-to-day activities.

My experience with pricing, setup costs, and licensing for Ivanti Autonomous Endpoint Management is that it is based on the per asset model. We need to buy licenses based on the assets, and some approvals are required for that. If any licenses are failing, we share updates with users for alerting. Once we have the licenses, we update them, which has been good. The pricing part is mainly handled by management and the costing team.

We have not evaluated other options before choosing Ivanti Autonomous Endpoint Management because it is company assets and software we use for whole asset management, operations, and day-to-day issues, including lease management and change management. This is the only tool we have to provide client support.

Regarding Ivanti Autonomous Endpoint Management's AI capabilities, I think it is more secure with Microsoft. We log in through the Microsoft Authenticator and through email, and we do not bypass security. I would say it is great and fits well. For governance, if we can maintain security or check monthly who is logged in, at what time, and when they log out, it would save a lot of time and money. It will also give us clarity on how many users log in for a day, which helps to manage security.

Assessing the trust-building process of Ivanti's AI from assist to advise to full automation, I find that sometimes if the process is not clear or if the end to end process to build automation is not clear, it is difficult, and we face challenges. Once we have clarity, it becomes easier to build that automation.

Ivanti's unified platform for IT and security operations helps streamline processes effectively. It works fine with IT systems and asset management and is also good for security in day-to-day operations, detailing how we work for the client. It records complete history across multiple environments, noting what was done and what resolution we are looking for. It is a great tool for managing IT security and operations.

We use the feature that consolidates devices, risks, and services data into one view. In the dashboard, we see complete asset information, their status, and risks. Based on this, when an asset is expiring or pending from the user side, we take necessary actions. It connects with the network to check vulnerabilities, software status, compliance with the tool or assets, and how we can escalate issues to the next level, especially if there are any services in the red. This feature is really helpful.

My advice for others looking into using Ivanti Autonomous Endpoint Management is that it will be helpful for managing asset management and day-to-day operations, covering all functionalities used for operational management across all environments. Companies and clients looking for a good tool will find Ivanti Autonomous Endpoint Management to be a great asset.

Ivanti Autonomous Endpoint Management is a great tool for managing our team and company assets. For the client, it provides timely reports and clean data, and it is really working fine. If any enhancements are required for improvements, there are times when we experience glitches where we cannot refresh data, which is fine. However, if we receive vulnerabilities issues in a timely manner, such as a month in advance, we can take actions promptly since updating software and removing vulnerabilities requires time for getting approvals. I would rate my overall experience with Ivanti Autonomous Endpoint Management as a nine out of ten.

My main use case for Ivanti Autonomous Endpoint Management involves the deployment of Ivanti Autonomous Endpoint Management on 25,000 assets.

This deployment on 25,000 seats benefits my organization because we are able to support and update the entire infrastructure through Ivanti Autonomous Endpoint Management.

The best feature that Ivanti Autonomous Endpoint Management offers is the inventory, which lets me control the entire environment.

Regarding this full control of the environment, I am able to mitigate certain vulnerabilities that occur in the environment through Ivanti Autonomous Endpoint Management, and I can check if there has been any hardware change in the environment on the endpoint host. By generating before-and-after daily reports, whenever there is a change, a report is generated, and I believe this is something very important for the team.

Remote connection access through Ivanti Autonomous Endpoint Management is also very useful; we stopped using other programs like TeamViewer and AnyDesk.

A positive impact of using Ivanti Autonomous Endpoint Management on my organization is the ability to perform mass updates in the environment, as today we are able to update hundreds of thousands of computers at once.

This mass updating has brought concrete benefits to the team as we are now able to automate.

My impression of Ivanti Autonomous Endpoint Management's ability to provide a comprehensive view by bringing together data on assets, vulnerabilities, services, and relationships is very favorable.

I have used the autonomous patch remediation feature of Ivanti Autonomous Endpoint Management, and it has helped maintain continuous patch compliance in my environment.

Regarding Ivanti Autonomous Endpoint Management's end-to-end remediation process, I am able to fix a lot of vulnerabilities.

By using the feature that consolidates device, risk, and service data into a single view, we have greatly reduced the number of vulnerabilities in the environment.

Ivanti Autonomous Endpoint Management could be improved in the support aspect because the support is quite poor.

I would also add that the reporting part needs improvement; I believe they should enhance the reporting capabilities within the platform.

I have been using Ivanti Autonomous Endpoint Management for four years.

Ivanti Autonomous Endpoint Management is stable.

The scalability of Ivanti Autonomous Endpoint Management is very high, as I am able to distribute at scale without any problems.

Customer support is really poor.

I previously used another solution because of cost, and we switched to Ivanti Autonomous Endpoint Management due to cost.

I have obtained a return on investment in terms of time savings.

My experience with pricing, setup costs, and licensing is that it is quite high.

Before choosing Ivanti Autonomous Endpoint Management, I evaluated other options, including e-Cades and Qualys.

My advice to others who are considering using Ivanti Autonomous Endpoint Management is that the platform is good to use, and it is worth it. I would rate this product a 7 out of 10.

My main use case for Ivanti Neurons for UEM is endpoint management to manage laptops, desktops, servers, and mobile devices from a single interface to ensure that the servers have a complete audit of these servers and mobile devices. I also use it for patch management to schedule patches on my Windows Server. Since 2016, I have had the ability to integrate with virtual machines and hardware servers, and I use it for IT service desk to create requests, raise change requests, and assign tickets. I get to see service desk requests that are being sent to me and manage security and vulnerability management to identify vulnerabilities that need to be patched and remediated. Additionally, I monitor devices in real-time to know the status of my devices, checking for any events or errors.

On a day-to-day basis, I use endpoint management to manage my devices, know the status, and check the real-time status of my servers, desktops, and laptops. My daily routine also revolves around the IT service desk, which I use mostly to check tickets, resolve incidents, and see service requests assigned to me or incidents assigned to my team, which is the compute team. Additionally, I perform patch management on a bi-weekly basis, patching my servers every two to four weeks.

The best features of Ivanti Neurons for UEM are the AI-powered automation, which I enjoy because it is a new thing for me, and the patch management that eliminates the process of having to manually patch my servers. I just connect the endpoint of my server to Ivanti Neurons for UEM, and if the patch is available, it is an easy install with just a click to update and reboot from that interface. Furthermore, I appreciate remote support, as I can connect to users without them coming to me, managing their PCs and resolving issues remotely. The AI-assisted ticket routing is another feature I enjoy, as it intelligently routes tickets to the appropriate teams without needing human intervention, making the workflow efficient. I have also tried the asset discovery inventory, which gives me a holistic view of my asset inventory without manual collation.

The AI-assisted ticket routing feature has made the biggest difference for my team, as it eliminates human intervention when a user raises a ticket, automatically identifying the routing for the right team. I would also say that patch management is very easy, as it eliminates manual processes of downloading and pushing patches to my servers. I can click to send multiple approved patches to my server quickly.

Ivanti Neurons for UEM has positively impacted my organization by saving time and improving efficiency. The AI feature enhances efficiency and cuts down manual processes. For instance, the time spent patching servers is significantly reduced, as I can click all necessary updates at once instead of spending about 45 minutes to an hour downloading and applying them one after the other.

I have no feedback regarding improvements since I am still exploring these features. Ivanti seems to be on the right path with its updates as there is rapid growth in AI applications.

I cannot think of anything to make my experience better. While I would recommend increased speed for ticket routing, I find the integration of AI very effective as it stands.

I have been working in my current field since 2016 to date, which is approximately 9 to 10 years.

Ivanti Neurons for UEM is stable.

Ivanti Neurons for UEM supports a large number of devices and is highly scalable, with centralized policy management and enterprise integrations.

Customer support has been impressive and responsive, especially in handling priority cases. They have maintained professionalism and technical competence. I rate customer support a 10.

We previously used a different solution, ServiceNow and Atlassian, but I am not the decision maker on why we switched.

I advise others looking into using Ivanti Neurons for UEM to subscribe and try it, especially for the AI-powered automation tools. I would rate this product a 9.

My main use case for Ivanti Neurons for UEM is device management, patch management, risk and vulnerability management, Edge Intelligence, and the bots.

I use Ivanti Neurons for UEM every day to patch devices and monitor them automatically so that staff only need to check it, which improves the user experience.

I cannot give exact figures, but we now have a patch level of 95% of devices patched on average, which we did not have before.

Ivanti Neurons for UEM's end-to-end remediation process has had a significant impact on risk reduction in my IT environment, as everything is always up to date, everything is monitored automatically, and as a result, the risk has dropped massively.

In my view, the best features that Ivanti Neurons for UEM offers are the Neurons Bots, the AI features, and the automated patch management.

What I particularly appreciate about the AI features is that everything is super easy and fast to configure, it is very reliable, looks very good, works well, has a good interface for support, and everything is traceable with no non-traceable steps.

Ivanti Neurons for UEM has positively impacted my company through better patch management, more reliable patch management, and less work for the staff.

In my opinion, Ivanti Neurons for UEM is good as it is, although the OSD deployment could be improved somewhat, as it currently only works with Windows devices that are already deployed. Native deployment via PXE boot would be beneficial.

I have been using Ivanti Neurons for UEM for three years.

In my experience, Ivanti Neurons for UEM is stable.

The scalability of Ivanti Neurons for UEM is very good.

I rate customer support as very good.

I have seen a return on investment, and there is definitely one, although I cannot share relevant metrics.

My experience with pricing, setup costs, and licensing is good.

I evaluated other options before deciding on Ivanti Neurons for UEM, including various solutions such as Baramundi, but I definitely wanted autonomous patch management in the cloud.

I have used Ivanti Neurons for UEM's autonomous patch function, and it is very effective.

I rate the trust-building process of Ivanti Neurons for UEM's AI, from assist mode to full automation across the company, as very good because it makes all steps traceable, everything is very clear and always reliable and correct.

I experience every day how the unified platform has really optimized IT and security operations processes since patch management automatically patches the vulnerabilities.

My advice to others who are considering Ivanti Neurons for UEM is to purchase it, as it is a very good product. I give this product a rating of 10.

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.

Ivanti Neurons for UEM serves as our main solution for utilizing EPM for Endpoint Manager to manage endpoints, obtain inventory data, push software, and conduct patch analysis. We also use UE and EPM, Endpoint Manager Mobile, for managing mobile devices to ensure secure applications such as email and Email+.

The best features Ivanti Neurons for UEM offers in my experience include using it to obtain inventory data for servers through EPM so customers can know their inventory data and scan network devices. This helps the helpdesk team perform remote desktop functions and execute any action remotely on the endpoint observer. Additionally, I integrate EPM with Ivanti ITSM and ITAM so the ITSM team can work on assets and open tickets as needed.

I also generate reports from the reporting tool. For EPM, Endpoint Manager Mobile, I have experience with Email+ integration with Exchange and Active Directory, email integration, and creating work profiles on endpoints and mobile devices so customers can use these applications securely and perform secure actions within the application container.

Out of these features, I find EPM, Endpoint Manager, the most valuable in my day-to-day work because the Endpoint Manager tool is useful and can handle various endpoints, including Windows and Linux, while also conducting network scans. Ivanti Neurons for UEM has positively impacted my organization by providing customers with tools to scan, perform remote desktop functions, conduct patch analysis, and manage software deployment along with network scanning. As a partner, it has helped customers with these features, which include patch analysis, patch scans, software deployment, remote desktop capabilities, and inventory data.

In terms of improvements for Ivanti Neurons for UEM, the only challenge I face with EPM Endpoint Manager is in scanning network devices, as some devices appear without a serial number, which is an issue that takes more time since customers often require the serial number as a mandatory field.

Regarding needed improvements for Endpoint Manager Mobile, I require enhancements in reporting. For devices that users remove from the work profile, I need an indicator to show that the user has removed the work profile, similar to the indicator in the EBM console that shows whether a user removed the work profile or completed a check-in but the work profile is not completely installed.

I have been working in my current field for four years as an IT engineer.

Ivanti Neurons for UEM is stable in terms of my experience with endpoint, server, patching, software deployment, and remote desktop functionalities, though I still experience some issues with SNMP scanning.

Ivanti Neurons for UEM is designed to scale from a small environment to a large enterprise deployment.

I would rate customer support as a nine on a scale of one to ten.

I previously used BMC Client Management before Ivanti Neurons for UEM, which served the same purpose for UEM to manage clients and endpoints.

My experience with pricing, setup cost, and licensing involves knowing that when deploying the project, we provide a cost for the tasks, which includes an assigned license. We deploy the license and apply the necessary tasks agreed with the customer to set pricing for every task.

Before choosing Ivanti Neurons for UEM, we evaluated other options, specifically BMC tools and Client Management. Ivanti Neurons for UEM provides a task for scanning network devices through SNMP, which is beneficial.

Ivanti Neurons for UEM is deployed in my organization as an on-premises solution. My impression of Ivanti's ability to provide a comprehensive system of record that brings together asset, vulnerability, service, and relationship data is that it effectively provides patches to solve vulnerabilities and maintain system security at all times. I have used Ivanti's autonomous patching feature for patching in EBM. In specific scenarios, Ivanti's unified platform for IT and security operations has helped streamline processes.

I assess the impact of Ivanti's always-on patch compliance on my organization's ability to manage vulnerabilities by performing scanning through batch definitions, scanning the endpoint, identifying missing patches, and then deploying the necessary updates. I can confirm that I am not using the feature that consolidates devices, risks, and services data into one view.

Regarding Ivanti Neurons for UEM's AI capabilities, it has security in the communication between the core server and the agent, utilizing certificates. The output from the agent provides all inventory data, including all data on the device and endpoint itself. Connected printers also appear in inventory data along with installed software, resources, RAM, and CPU, and the output is accurate.

I gave Ivanti Neurons for UEM a rating of ten out of ten because it is overall good for customers due to its new features that distinguish it from other vendors, especially in scanning network devices. It effectively scans those devices, and specifically for EPM, it can enhance email security with Email+, which is excellent for customers to secure emails and access Email+ from a secure site. I would rate customer support as a nine on a scale of one to ten.

My main use case for Ivanti Autonomous Endpoint Management revolves around endpoint health, patching, vulnerability remediations, and proactive issue resolutions on a day-to-day basis. I use it to identify endpoints with security configuration issues, prioritize devices based on risk, and automate remediation wherever possible.

If the platform detects a known application issue on an endpoint, an automated bot can perform predefined remediation and verify the result, thus saving the endpoint team from manually connecting to the device, troubleshooting it, and potentially opening and updating a service ticket. I believe the biggest value lies in the closed-loop approach that detects, diagnoses, remediates, and verifies the endpoint is healthy again, shifting support from reactive troubleshooting to proactive self-healing.

Regarding the autonomous patching feature, I have evaluated how Ivanti approaches it. Even though my primary hands-on patch management experience is with Intune and MECM, I find Ivanti's continuous compliance model particularly useful, as it shifts patch compliance from a periodic activity to continuously enforcing a state.

Ivanti Autonomous Endpoint Management has had a significant positive impact on my organization, particularly in reducing manual endpoint management efforts and moving from reactive support to proactive remediation. Rather than the endpoint team manually identifying vulnerable devices and deploying patches while checking compliance and following up on failures, Ivanti continuously discovers endpoint states, prioritizes risks, and facilitates remediation.

I think the autonomous approach is valuable, but I would like to see continuous improvement in the level of control and transparency around automated remediation. In an enterprise environment, while automation is powerful, strong guardrails, approval workflows, and clear audit trails, along with rollback capabilities and the ability to control the scope of automated actions, are essential.

I have been familiar with Ivanti Autonomous Endpoint Management for almost six years, where my primary hands-on experience includes Microsoft Intune, MECM, and Ivanti as well. What is interesting to me is how Ivanti combines endpoint intelligence, risk-based prioritizations, and patching to reduce manual endpoint management work.

In my experience, Ivanti Autonomous Endpoint Management is stable, and I have not encountered any downtimes or issues.

I have not noticed any issues with Ivanti Autonomous Endpoint Management's scalability. It appears capable of handling growth or changes in our organization smoothly, transitioning from low to high capacity in seconds.

I find the customer support for Ivanti Autonomous Endpoint Management to be excellent, and the support team is helpful with this tool.

Before choosing Ivanti Autonomous Endpoint Management, we evaluated several options, primarily focusing on Microsoft Intune and MECM, which I have the most hands-on experience with. We also considered platforms including Tanium, HCL BigFix, and ManageEngine Endpoint, as there are multiple tools available for managing endpoints.

My advice to others considering Ivanti Autonomous Endpoint Management is that it helps reduce manual tasks, allowing for more productivity because of its automation, and I would definitely recommend this application software. I rate this product an eight out of ten.

Regarding how the self-healing automation works for me, a good example would be a device running low on disk space. Traditionally, a user might raise a ticket stating that their laptop is slow or an application update is failing, but with Ivanti's self-healing capability, the endpoint detects conditions, diagnoses them, and triggers automated remediation such as cleaning unnecessary files without waiting for an engineer's intervention.

Ivanti Neurons is delivered as a cloud-native SaaS platform, and although the underlying cloud provider can depend on the specific Ivanti services, regions, and hosting arrangement, in our environment, we use AWS because it tends to be a bit cheaper than Azure and Google Cloud.

I did not purchase Ivanti Autonomous Endpoint Management as it was provided by our organization directly through the Ivanti commercial subscription channel. As far as I know, Ivanti does not have offerings available through the AWS marketplace. Our company acquired it on our behalf, and we simply gained access to use it.

When it comes to patching, I see one additional benefit in reducing the gap between detection and remediation in a large enterprise environment. Identifying vulnerabilities and unhealthy endpoints is only half the problem, and the real challenge is consistently getting issues fixed and verifying the results. Ivanti's autonomous approach helps by analyzing endpoint health continuously and prioritizing issues based on risk, significantly reducing the number of manual tickets and repetitive troubleshooting tasks for the endpoint team. From my experience with Intune and MECM, I would say Ivanti is superior to MECM and SCCM because SCCM is an older technology, while Ivanti is newer.

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.