Ivanti Autonomous Endpoint Management Reviews

My main use case for Ivanti Autonomous Endpoint Management involves mobile devices, specifically iPads and iPhones.

A specific example of how I use Ivanti with my iPads and iPhones is keeping our mobile devices updated with apps, and whenever we have turnover in our employees, ensuring that we are able to set them up properly for onboarding.

Our organization has a relatively straightforward setup and policy regarding our main use case.

The best features Ivanti Autonomous Endpoint Management offers are the integration it provides with our Apple Business Manager.

The integration with Apple Business Manager helps my workflow by ensuring that all of our devices are Verizon cellular data enabled, and that they are immediately enrolled in our Apple Business Manager through Verizon, allowing them to automatically enroll in Ivanti.

Ivanti's autonomous patching feature helped in maintaining continuous patch compliance in my environment by taking care of some of the immediate needs due to having different devices within not only different models but different groupings, and not being able to rely on some of our rules and policies.

Ivanti Autonomous Endpoint Management has not positively impacted my organization; we have unfortunately struggled with it for the past several years and we have continued to struggle with the platform even with trying to get help from the Ivanti side.

The specific struggles I have faced with Ivanti Autonomous Endpoint Management include lack of support, as the transition from MobileIron to Ivanti seemed very clunky, and when I inherited our IT department, I really needed to have some help and some training on how to use Ivanti because I was not familiar with the platform; none was given and we were just left to our own devices.

If there was one thing I could change about Ivanti Autonomous Endpoint Management, it would be that it is just not very intuitive, in terms of the way things are called, how they are laid out, and requiring a good understanding of the workflow; MDM systems are notorious for not being great, and it is one of those situations that no one wants to really have to manage mobile devices just due to the awkwardness of an MDM system.

I think that if the platform had been set up cleanly from the beginning, or if we could have had someone help us walk through how to properly use the system, I might think differently.

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

Ivanti Autonomous Endpoint Management seems stable, and I have not really had any issues to say why it would be potentially unstable.

I have found the scalability of Ivanti Autonomous Endpoint Management a bit cumbersome.

Customer support has been pretty lacking; every time we have reached out, we get pretty generic answers, and we have reached out multiple times hoping to get someone to help us really understand a system that has been in development for a decade, especially since none of the people who made the system or created the policies and rules even work here.

When I inherited the IT department, they were already using MobileIron.

The transition to Ivanti from MobileIron has not been an extremely smooth process, and it has been a rocky relationship.

I found the feature that consolidates devices, risks, and services data into one view very confusing, especially considering that we came from the MobileIron side and we continued for far too long; in fact, we still receive things that say MobileIron on them, and after we have had multiple people come through the IT department, that gets really confusing because they are not looking for MobileIron, they are looking for Ivanti, which I think means that the transition has not been made clean.

We have not seen a return on investment from Ivanti Autonomous Endpoint Management; to be perfectly honest, if I did not have mobile devices, I would not be using it.

I have evaluated other options since using Ivanti, specifically InTune.

My advice to others looking into using Ivanti Autonomous Endpoint Management is to set it up properly from the very beginning, take it slow with test groups, make sure your rules and policies are clean, and ensure that you maintain it constantly.

I truly wish that I could have made Ivanti Autonomous Endpoint Management work a bit better for our needs after working with the system for over two years.

I would rate this review as four out of five.

The main use case for using Ivanti Autonomous Endpoint Management is to track the incidents which we get from our project which is in support. Generally, the client raises the instance such as service requests or change requests. We get those as tickets via Ivanti Autonomous Endpoint Management, and we handle them and try to close them using the tool from its new status to the closure part.

Ivanti Autonomous Endpoint Management is very user-friendly. I found it to be more user-friendly compared to other ticketing tools such as Cherwell, ServiceNow, or other ticketing tools. It helps the team to track or monitor the tickets, queries, and change requests from our client end. Until they get closure, it shows everything from A to Z. We can track them very easily, and I feel it is very good and very useful for the project and the company.

The best features in Ivanti Autonomous Endpoint Management include more options, feasibilities, fields, easy accessibility, and user-friendly interfaces. The percentage we have completed the work and the tickets coming in a month are shown in a pie chart diagram, everything from A to Z. I feel the features and the UI of Ivanti Autonomous Endpoint Management are very good and user-friendly, which is very helpful for organizations and projects dealing with support in the IT sector.

Considering that we are a team of ten to fifteen members and used to get tickets on a daily basis in huge numbers, we can easily monitor them using pie chart diagrams or graphs that show how many tickets are completed, closed, on hold, in progress, new, or unassigned, with each status represented by a different color. We can track them using Ivanti Autonomous Endpoint Management, which is very helpful in visualizing progress and efforts.

I noticed one thing when comparing Ivanti Autonomous Endpoint Management with other software in the market, such as Cherwell, where we can see the rating of the person. In Ivanti Autonomous Endpoint Management, I feel the individual ratings and feedback feature is missing. In Cherwell, we receive an overall average rating based on the tickets worked on, which I find missing in Ivanti Autonomous Endpoint Management.

I have been using Ivanti Autonomous Endpoint Management for the last seven to eight months.

I find Ivanti Autonomous Endpoint Management to be one hundred percent stable.

Its scalability is very good.

Ivanti Autonomous Endpoint Management's customer support is very proactive and helpful.

Previously, we used the Cherwell solution. Our management received good reviews and input about Ivanti Autonomous Endpoint Management, and after demonstrations, this solution felt far better in many ways. Thus, the management decided to descope the previous solution and onboard with Ivanti Autonomous Endpoint Management because of its user-friendliness and more helpful features for end users and the overall team.

I can say that it is evident that time saved equates to fewer employees needed.

As an associate working in a project, I am not exposed to the pricing, setup cost, or licensing costs, as these are completely related to the management and account team's work. I am not really sure about the pricing and setup and licensing costs for Ivanti Autonomous Endpoint Management.

We evaluated many options in the market, including Cherwell and ServiceNow, and chose Ivanti Autonomous Endpoint Management, which was the latest trending option.

Regarding Ivanti Autonomous Endpoint Management's AI capabilities, I think its governance and security are quite good. I can say that Ivanti Autonomous Endpoint Management is very accurate as it provides accurate outputs, and the team, team leads, and management can rely on it greatly. My impression of Ivanti Autonomous Endpoint Management's ability to provide a comprehensive system of record is very good. It is amazing, I would say. For those looking into using Ivanti Autonomous Endpoint Management, I would recommend just going for it. It is the best tool available in the market right now with all the features, and despite needing a few improvements, I encourage people to use it. I have rated this review with a nine out of ten.

Ivanti Autonomous Endpoint Management is used for centralized endpoint security and patch management. I use it to monitor patches, planning, asset device visibility, automation, monitoring, and automated bots. Patch management and automation are the major use cases.

The best features of Ivanti Autonomous Endpoint Management are the automation bots, along with the patch process, automation, and self-healing automation. With the patch processing, the system knows exactly which vulnerabilities pose immediate threats, so we can focus on critical security updates first rather than patching blindly.

Automation with Ivanti Autonomous Endpoint Management has significantly reduced our daily operations. My team uses bots to forward and patch issues, and the configurations enable streamlined workflows.

Batch processing in Ivanti Autonomous Endpoint Management helps our team with patch installation and PowerShell administration patching experience by enabling us to execute large-scale, repetitive tasks and hundreds of files without manual machine-by-machine intervention. For the monthly security patch deployment, instead of triggering updates individually, we can configure it.

Non-standard deployment in Ivanti Autonomous Endpoint Management gives us a better user experience. The user experience analytics provided actionable insights into device performance, application crashes, and user experience scores across our hybrid environment.

Ivanti Autonomous Endpoint Management has positively impacted our organization by allowing us to reduce the volume of daily tasks. These insights help us view workload and reduce the volume along with operational skills across management, so we are better at patching and completing our enterprise tasks.

There are a few areas where Ivanti Autonomous Endpoint Management could be further improved, including custom reporting, dashboard flexibility, and UI navigation for new admins.

I have been using it actively since two months ago.

We previously used Ivanti Endpoint Security, but we recently migrated to Ivanti Autonomous Endpoint Management.

Regarding Ivanti Autonomous Endpoint Management's AI capabilities, a few points include AI domain security, embedded policy, audit-ready traceability, logging, in-the-loop control, and data governance.

The accuracy and reliability of Ivanti Autonomous Endpoint Management's AI output is good because Ivanti Autonomous Endpoint Management has telemetry and strict policy rules rather than guided ones.

Additional features in Ivanti Autonomous Endpoint Management that I would like to see include a catalog of third-party apps, installation control, and feature priority across Linux and mobile endpoints. I would rate Ivanti Autonomous Endpoint Management a three on a scale of one to 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.

My main use case for Ivanti Autonomous Endpoint Management is opening and managing tickets for the IT area. My team provides support in handling tickets, errors, and problems that we find in the system, so I use Ivanti Autonomous Endpoint Management as an administrator, handling tickets, doing configurations, changes, and adjustments to offerings.

Recently, the security team needed the CIs, the company's assets, to have some additional information related to security that the system didn't have by default, so I had to create some fields in the asset object so they could enter this information in order to meet the company's security area requirements.

We have a project to stop depending on endpoints because they actually generated a lot of integration and execution problems, and we ended up being left stranded by endpoint execution, so our goal is to reduce the dependency on endpoints and start getting the information generated inside the system itself.

Integration errors with endpoints generated more incidents, so there wasn't that much improvement, and we actually still need to improve this.

I believe it has helped.

I don't think there's anything that really stands out in itself about Ivanti Autonomous Endpoint Management; it's good and its use is good, but we face many problems. I don't know if you could explain what this unified dashboard is that you mention because I don't know if we actually use it, and I don't have a feature that I prefer the most.

A very interesting feature created by our vendor is that we can retrieve specific information from our endpoints using a filter that they've set up and saved as a standard, which is very good because we can get specific information to update during the day.

One challenge we've found here regarding handling problems with Ivanti Autonomous Endpoint Management is actually the question of pagination or the size of endpoint results, which limits us because of pagination, making endpoint execution very long and consequently reducing our ability to run other endpoints one after another.

I would like better analysis of issues that caused errors in the endpoints, something that would show this, bringing better visibility about what caused an error when an endpoint fails.

An option to automatically generate incidents or some record or some task, some ticket would make my experience smoother, especially when there's a problem with an endpoint. The points I mentioned and the possibility to configure it to trigger an incident if there's a problem would be really helpful.

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

Usually, when we have a problem, we contact our vendor if we can't solve it here, we contact our Ivanti system vendor and if our Ivanti system vendor can't solve it, then they contact Ivanti, so there's a problem escalation chain.

I would rate Ivanti Autonomous Endpoint Management a six out of ten. We actually don't have access to the AI part. It's a good system that does what it promises, but it needs to be implemented carefully and securely.

My main use case for Ivanti Autonomous Endpoint Management is ensuring all the endpoints are properly set. I relied on it for everything related to the endpoint.

I do pull a report with Ivanti Autonomous Endpoint Management in my day-to-day work. I perform many tasks, such as remotely connecting to a desktop, pulling reports, and accessing all that information right there.

The best features Ivanti Autonomous Endpoint Management offers include the way it examines the computers, the way it reviews all the software on the computer, and the way it ensures everything is running smoothly.

The feature that allows me to examine the computer and other software smoothly has helped me significantly. I found it particularly useful when we had a computer that was not receiving certain software, so we had to push it out to a new one.

Ivanti Autonomous Endpoint Management has positively impacted my organization by making many improvements. It can examine systems, ensure everything is running smoothly, and allow me to complete everything with just one button.

It has saved time, reduced errors, and improved security significantly, which are some of the improvements I have seen with Ivanti Autonomous Endpoint Management.

Ivanti Autonomous Endpoint Management can be improved by ensuring it runs a little more smoothly. It should not lag every single time I have to open a window, and it should not take so much time to load a lot of data.

Additionally, a little more documentation on Ivanti Autonomous Endpoint Management would help improve it.

I have been using Ivanti Autonomous Endpoint Management for about three years.

Ivanti Autonomous Endpoint Management is somewhat stable.

Its scalability is very scalable.

The customer support for Ivanti Autonomous Endpoint Management was okay.

I have never used a different system before choosing Ivanti Autonomous Endpoint Management.

My experience with pricing, setup cost, and licensing for Ivanti Autonomous Endpoint Management was that pricing was a little more expensive than I wanted it to be. However, the cost was really nice because I have the cloud provider, so everything was on the cloud.

I have not seen a return on investment.

Before choosing Ivanti Autonomous Endpoint Management, I evaluated InTune among other options.

My advice to others looking into using Ivanti Autonomous Endpoint Management is to go ahead and do it. It will be perfectly set up for you. I would rate this product a 7.

My main use case for Ivanti Neurons for UEM is to have better oversight of our endpoints across our IT landscape. A specific example of how I use it to get better oversight of my endpoints involves pushing out applications, security, understanding where each of the endpoints are, and remediating any threats identified on the endpoints.

The best features Ivanti Neurons for UEM offers include the single pane of glass dashboard that allows you to have patch management, UEM, as well as all the other Ivanti solutions. What stands out to me the most about the dashboard is how everything's displayed; it's very user-friendly and it's easy to navigate. Ivanti Neurons for UEM has positively impacted my organization by utilizing more than just one Ivanti Neurons for UEM solution, helping us to reduce the overall expenditure for our cybersecurity solutions.

Ivanti Neurons for UEM could be improved by providing training on the dashboard, which could help users understand better how they can get more out of the platform.

I have been using Ivanti Neurons for UEM for between two and three years.

Ivanti Neurons for UEM is stable.

In terms of scalability, Ivanti Neurons for UEM is good; we have rolled it out across different regions quite successfully.

The customer support I receive is really good.

I did not previously use a different solution.

My experience with pricing, setup cost, and licensing was pretty straightforward, following the standard SaaS vendor approach, and the pricing was relatively competitive.

My company has a business relationship with this vendor as a partner.

I have seen a return on investment, as we are in the process of reducing headcount as a result of the impressive features in Ivanti Neurons for UEM and the autonomous AI patching agent, but that's about the level of information I'm comfortable giving at this stage.

I purchased Ivanti Neurons for UEM through the AWS Marketplace.

Before choosing Ivanti Neurons for UEM, I evaluated other options such as Microsoft and Darktrace.

Regarding Ivanti Neurons for UEM's AI capabilities, I think its governance and security are quite strong and mature in that space compared to other vendors in the market, so I'm pleasantly surprised and happy with the level of maturity that it currently has.

In terms of Ivanti Neurons for UEM's AI capabilities, its accuracy and reliability of output are generally quite accurate.

I assess the trust-building process of Ivanti's AI from assist to advise to full automation in my organization as impressive; I've been quite happy with it, and we haven't had too many complaints.

The impact of Ivanti's end-to-end remediation process on the reduction of risks within my IT environment is that our risk management posture has improved by about 70 percent by implementing these solutions from Ivanti.

Ivanti's unified platform for IT and security operations helps streamline processes, especially because the manual intervention of having to constantly monitor, update, and maintain endpoints and applications has significantly reduced by leveraging Ivanti Neurons for UEM.

I am using the feature that consolidates devices, risks, and services data into one view, and it allows us to assess this every morning and understand our posture or if there are any current threats.

My advice for others looking into using Ivanti Neurons for UEM is to definitely consider the product because it has come a long way.

Ivanti Autonomous Endpoint Management is used for IT ticketing and ITSM purposes.

Ivanti Autonomous Endpoint Management is user-friendly and comfortable to use for ticketing. When comparing Ivanti Autonomous Endpoint Management with other solutions or vendors, I find that it is a good solution. When compared with other ticketing tools, it has many features and is easy to understand.

Ivanti Autonomous Endpoint Management is currently in good condition. If anything could be improved, I think incorporating AI would be a better addition.

I have been using Ivanti Autonomous Endpoint Management for approximately three years.

Ivanti Autonomous Endpoint Management is stable. I have not faced any issues with it.

Approximately 3,000 users use Ivanti Autonomous Endpoint Management.

I have not received any technical support regarding Ivanti Autonomous Endpoint Management. I would rate the support as a 10 based on having no issues requiring support.

I find that Ivanti Autonomous Endpoint Management is easy to deploy.

Regarding maintenance, I find that it is easy and we perform it every month. We schedule patching every month.

I do not use features that consolidate devices, risks, or services or service data into one single view.

Regarding managing vulnerabilities with Ivanti Autonomous Endpoint Management, I am uncertain about that capability.

Concerning the ability of Ivanti Autonomous Endpoint Management to provide comprehensive records, I am uncertain about that capability.

With Ivanti Autonomous Endpoint Management, we use AI to help with automation or processing, specifically Autopilot and some features in Office 365.

Ivanti Autonomous Endpoint Management is cost-efficient in terms of pricing. I give this product an overall rating of 10.

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.