Ivanti Autonomous Endpoint Management Reviews

Our main use case for Ivanti Autonomous Endpoint Management is to perform Windows patching and third-party application patching to set up an automated schedule so that all the endpoints are updated on time and as per the user's convenience.

A specific example of how we use Ivanti Autonomous Endpoint Management for patching is that a customized update prompt or a reboot prompt is very important for us because we do not want to reboot our users during or after hours since we do not know when the users are working. We customize the reboot prompt and provide options to the users, allowing them to extend the timing, do it immediately, or whenever they are ready, which helps us manage our end-user experience in a better way.

Regarding our main use case, we do a lot of things using Ivanti Neurons where we run scripts to get files, delete files, and make automated adjustments remotely.

The best features that Ivanti Autonomous Endpoint Management offers are the patch management and the patch deployment, and I can gather event logs through the portal, which is what we primarily use it for.

The features of Ivanti Autonomous Endpoint Management are valuable due to the ease of use and being easily configurable. We can exclude or include what we want to patch, and the automation is excellent. However, I think reporting could be improved since the event log viewer provides a vague and unclear view, which could benefit from significant improvements for better usability.

Ivanti Autonomous Endpoint Management has positively impacted our organization because we have received great reviews from our users stating that they are satisfied with the way it works. We are also trying to get a similar experience from other products that we use, such as driver updates, but we are unable to find a similar experience anywhere else. In that way, Ivanti Autonomous Endpoint Management is superior.

I can share specific outcomes showing how Ivanti Autonomous Endpoint Management made a positive impact. From the reporting we receive, we perform patching updates every week with no tickets or complaints from users saying they dislike it or their computers were abruptly restarted. It has always been very systematic and on schedule, ultimately saving us a lot of time and reducing many tickets due to this.

There are many features that can be integrated with Ivanti Autonomous Endpoint Management. The event log viewer can be made significantly better so that we can export logs, view them properly, and categorize them. I would love to see AI integrated into it where we could ask it to perform tasks. Currently, if I need to investigate a computer, I must manually go in and check. I could leverage AI to figure it out since Ivanti Autonomous Endpoint Management has all those logs, which would be really valuable. Having a driver updates section on Ivanti Autonomous Endpoint Management would also allow us to manage it from there.

I think the Ivanti Autonomous Endpoint Management endpoint app or the GUI could be improved so that users better understand how to use it. It could be more user-friendly, allowing users to initiate updates on their own without waiting for the schedule, and we could simply advise them on this.

I have been using Ivanti Autonomous Endpoint Management for more than two years.

Ivanti Neurons is stable in my experience.

Ivanti Neurons' scalability has been great for our organization as we have been growing and adding new devices, and there have been no challenges at all.

Customer support for Ivanti Neurons is good. I would not say it is great, but it is certainly good.

Before Ivanti Neurons, we used other solutions like ManageEngine, but the customization was trickier and different, which is why we switched.

My experience with pricing, setup cost, and licensing has been great since it helped us significantly with understanding how users are staying up to date on their devices. I feel that we are really satisfied, and the pricing and setup cost are reasonable, although I am not the right person for those details. However, as far as I know, it is good.

I have not seen a return on investment, nor can I share relevant metrics such as time saved, money saved, or fewer employees needed, since that would be handled by another team, so I cannot provide those metrics.

Regarding Ivanti Autonomous Endpoint Management's AI capabilities, I have not used it yet.

I do not have experience with Ivanti Autonomous Endpoint Management's accuracy and reliability of output because I am only using Ivanti Neurons, which is the only thing I am utilizing.

Ivanti Autonomous Endpoint Management is not deployed in my organization because we are only using Ivanti Neurons.

I can provide additional feedback on Ivanti Neurons. We use Azure as our cloud provider for Ivanti Neurons. We purchased Ivanti Neurons through another channel, not through the Azure marketplace.

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 is excellent. We appreciate it, and it is easier to use.

We have used Ivanti's autonomous patching feature, which has effectively helped us maintain continuous patch compliance in our environment. That is essentially our main goal, and it has been performing really well with patch compliance. We currently perform patching every week, and it works excellently.

My advice for others looking into using Ivanti Neurons is that they should try it out for themselves because for us, it really works well. Once they try it, I think they would appreciate it. I would rate this review a nine out of ten.

My main use case for Ivanti Autonomous Endpoint Management is patching endpoints, desktops, and servers. I use Ivanti Autonomous Endpoint Management to meet the 14-day compliance window for critical patches to be applied. Patching is the primary focus, but I also use Ivanti Autonomous Endpoint Management as an RMM solution and as a CMDB for endpoints.

Greater control around what we patch and when we patch, including stringent SLA reporting.

The best features Ivanti Autonomous Endpoint Management offers include powerful reporting, patch intelligence, and the ability to configure the system to do patching with custom ring deployments.

Edge intelligence and smart advisors are straightforward to work with for on demand querying/reporting. The Neurons bots are highly configurable and useful for preventative maintenance. Regarding ring deployments, the ability to easily configure test and production rings and put a quality process around patching is beneficial.

Ivanti Autonomous Endpoint Management has positively impacted my organization primarily through the ability to report on patch compliance. I have always been able to work towards the 14-day requirement for critical vulnerabilities, but now I have a platform that can report on that so I can record progress for that particular metric. This reporting capability will help us maintain certain frameworks, and it will make audit preparation much easier.

I believe there could be a better way to know what particular patches are going through a ring deployment in terms of the Patch Intelligence area of the system. This could improve visibility on patches that are in Patch Intelligence, ensuring I know which ones are going through a ring deployment.

Regarding Ivanti Autonomous Endpoint Management agent in general, it can seem somewhat laggy. A better way of being able to check devices in on a more regular basis without having to invoke PowerShell scripts would be beneficial. Additionally, a better way in Ivanti Autonomous Endpoint Management to see if a device is actually online without having to go into a device to see if it is communicating with the platform would be beneficial.

I have been using Ivanti Autonomous Endpoint Management for one year.

Ivanti Autonomous Endpoint Management is stable.

I cannot answer the question about scalability without scaling the product. For the amount of devices that I currently have, I might explore other modules of Neurons to implement.

I have only had a need to contact customer support twice, and both occasions have been positive.

I previously used Action One and switched because I recognized the need for a tool that provides greater functionality and a wider breadth of services than the previous platform.

Initial setup was straightforward, however fine tuning takes time.

We consumed some of Ivanti's professional services to implement the product, as unfortunately this isn't included when purchasing the product. Nor is there a particularly friendly pricing model for outcome based consultancy packages.

I have not calculated this scientifically, but there has definitely been some efficiency gains over the previous patch management tool that I had.

I handled pricing, setup cost, and licensing through a partner, and the licensing is straightforward.

Before choosing Ivanti Autonomous Endpoint Management, I evaluated Patch My PC and another third-party solution as well as a CrowdStrike solution.

My advice for others looking into using Ivanti Autonomous Endpoint Management is to not underestimate the amount of fine-tuning needed for your specific organization, especially in getting the right ring deployment and balance of machines in the test ring to ensure that patches actually flow into the production environment. I have given this product a rating of 8 out of 10.

My main use case for Ivanti Autonomous Endpoint Management is support. I use Ivanti Autonomous Endpoint Management in my daily work to review tickets and look at issues and access requests. I have been examining the task flows and access to the dialogues globally regarding my main use case for Ivanti Autonomous Endpoint Management.

The best features Ivanti Autonomous Endpoint Management offers are in the main table to update as flows. These features make my daily work easier and more efficient because these tools are practical. The ease of tracking and modifying our equipment flows stands out particularly about the features. Ivanti Autonomous Endpoint Management has positively impacted my organization by being highly effective because now everything is mapped out and managed.

Ivanti Autonomous Endpoint Management can be improved by allowing me to drive optimization, proactive monitoring, and automatic information, which lets Ivanti detect and resolve endpoint issues faster with less manual intervention. Better integrations are needed that I have not yet mentioned. My impression of Ivanti's ability to provide a comprehensive system of record is that better integration, simpler configurations, and more custom stable reporting would be useful. The accuracy and reliability of Ivanti Autonomous Endpoint Management's AI output are strong overall, but transparency, security controls, and governance around driving decisions could be improved.

I have been using Ivanti Autonomous Endpoint Management for two and a half years.

I find Ivanti Autonomous Endpoint Management to be stable.

Ivanti Autonomous Endpoint Management is highly scalable and has the capability to support a growing number of endpoints.

The customer support is satisfactory.

I would rate Ivanti Autonomous Endpoint Management an eight on a scale of one to ten. I advise others looking into using Ivanti Autonomous Endpoint Management to assess your needs and test the automation features before full deployment. The XLE app was scrolled down, but I do not have the exact number at this time regarding specific outcomes. Ivanti's end-to-end remediation process has reduced risks within my IT environment by detecting and remediating issues faster, minimizing volume updates and manual integration. Ivanti's unified platform for IT and security operations has helped streamline processes by allowing IT and security teams to detect and remediate issues from one platform. I am using the feature that consolidates devices, risks, and services data into one view, and it has improved visibility and simplified daily monitoring, allowing me to identify risk-related issues.

Ivanti Neurons for UEM is primarily used to manage devices and provide support to them. Ivanti Neurons for UEM uses Digital Employee Experience, which is the DEX, helping us to proactively manage our devices and resolve issues before users are even aware of any signs that their device is having an issue. Our major use case is device management.

From the UEM dashboard, Ivanti Neurons for UEM shows our devices and allows us to see all our users and their devices. From there, we can also access information into the Digital Employee Experience score, which gives us a score to help us know the user's experience with devices. In cases where scores are low or where we have a caution on the device, our IT support team can easily check on these devices and identify potential issues. Sometimes it might be that a device is running out of storage or the antivirus scanning on the device is out of date. It can also be that antivirus protection is turned off or the device is missing a critical patch. With this dashboard, we are able to resolve these issues promptly before they escalate within the environment.

Some of the best features of Ivanti Neurons for UEM are the Digital Employee Experience, Edge Intelligence, and patch management.

For Digital Employee Experience, it gives us insight into how our employees are enjoying their experience using the devices assigned to them. It also provides warnings across security, device management, application insight, and service insight, allowing us to know what's going on within the device. Additionally, it provides the opportunity to remotely resolve issues with devices. Regarding patch management, it is easy with Ivanti Neurons for UEM and does not just patch the operating system alone; it also patches third-party applications. It supports batch patching, enabling us to not patch all devices at once, and has an easy rollback option in case a patch affects a device negatively. Edge Intelligence gives us insight into our environment, showing us different regions and devices sitting on the edge.

Ivanti Neurons for UEM has impacted the organization positively by improving user experience. It supports the IT team by allowing them to resolve issues remotely without disrupting employees' activities, and it provides visibility into system issues without extensive troubleshooting. Those factors have improved productivity within the IT team and enhanced our overall user experience.

Proper communication of licensing could be improved, ensuring it is clear and understandable for anyone to use the product.

I have been using Ivanti Neurons for UEM for the past seven months.

Ivanti Neurons for UEM is stable, and I cannot think of any stability issues.

The scalability of Ivanti Neurons for UEM is high.

The customer support has been excellent.

The initial setup presented no issues.

The implementation team presented no issues.

There is a good return on investment as money and time are saved. Our IT team focuses on more productive tasks since many issues that previously required IT intervention are now handled by the self-healing capability of Ivanti Neurons for UEM. The number of tickets for our IT team has drastically reduced, which saves time, increases productivity, and allows the IT team to focus on essential tasks rather than minor issues with employee devices.

Pricing, setup cost, and licensing are on the high side, but we receive very good support from the Ivanti team regarding this.

We evaluated other options before choosing Ivanti Neurons for UEM.

Regarding AI capabilities, Ivanti Neurons for UEM integrates a lot of AI and machine learning. I do not have much to say about its governance and security.

The accuracy of Ivanti Neurons for UEM is quite good, and it is reliable. I have a good impression of Ivanti's ability to provide a comprehensive system of record, as most of their solutions, especially the ITSM and ITAM, integrate seamlessly with Ivanti Neurons for UEM. The relationship between the system, asset, vulnerability, service, and relationship data is quite a good one, making it easier for system admins to manage device management.

In terms of patch management, I have not used the autonomous patching feature, so I cannot provide much information on that. Ivanti Neurons for UEM's always-on patch compliance feature helps my organization manage security vulnerabilities more effectively, keeping devices up to date and secure at all times.

Using the feature that consolidates devices, risks, and services data into one view has made daily operations seamless and easy for the team, as we have a single pane of view to manage what needs managing.

I would recommend that others go ahead and try Ivanti Neurons for UEM. I gave this product a rating of eight out of ten.

My main use case for Ivanti Autonomous Endpoint Management is laptop management as a security endpoint, along with DLP. Ivanti Autonomous Endpoint Management has been installed on all laptops as an endpoint for security or DLP purposes.

The best feature Ivanti Autonomous Endpoint Management offers is endpoint security. What I appreciate about the endpoint security feature is that it can be managed by Ivanti Autonomous Endpoint Management portal, which has multiple OUs. I can create OUs and set some endpoints or end-user laptops in some OUs and others in different OUs with different privilege levels. Ivanti Autonomous Endpoint Management portal management is the best portal for security endpoints I can use.

Ivanti Autonomous Endpoint Management has positively impacted my organization by making it easy to manage all end-user laptops and all OUs, so I can see and set some user laptops in a more secured OU and other users in a less secure OU, such as the virtualization feature.

I think regarding improvements for Ivanti Autonomous Endpoint Management, you can check the portal itself, because if there is any development you can do in Ivanti Autonomous Endpoint Management portal, it would be easier than the current one.

Regarding Ivanti Autonomous Endpoint Management's AI capabilities, I feel confident in its governance and security. I do not feel there is anything to improve regarding how it manages data security and compliance. Ivanti Autonomous Endpoint Management's AI capabilities demonstrate accuracy and reliability of output. There are not any improvements needed for Ivanti Autonomous Endpoint Management that I have not mentioned.

I have been working in my current field for about four years.

Ivanti Autonomous Endpoint Management is stable.

Customer support is very good. I would rate customer support a nine on a scale of one to ten.

I have not used a different solution before.

I have not seen a return on investment with Ivanti Autonomous Endpoint Management.

I would advise others to use and try Ivanti Autonomous Endpoint Management because it is a very good solution. Ivanti Autonomous Endpoint Management is more secure, with fewer incidents happening and more time saved. It is easy to manage, so it absolutely saves time.

I have not used Ivanti Autonomous Endpoint Management's autonomous patching feature, so I cannot comment on its effectiveness in maintaining continuous patch compliance in my environment. I am not using Ivanti Autonomous Endpoint Management's AI trust-building process, from assist to advise to full automation in my organization. There are no specific scenarios where Ivanti Autonomous Endpoint Management's unified platform for IT and security operations has helped streamline processes. I am not using the feature that consolidates devices, risks, and services data into one view. My impression of Ivanti Autonomous Endpoint Management's ability to provide a comprehensive system of record that brings together asset, vulnerability, service, and relationship data is that it is very good.

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 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.

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.

My main use case for Ivanti Autonomous Endpoint Management is primarily for patch management, inventory management, as well as software deployment in some cases.

The best feature Ivanti Autonomous Endpoint Management offers is automatic patch management, which really helps to keep all devices compliant.

Ivanti Autonomous Endpoint Management has positively impacted my organization by managing patching for 5,000 systems without manual effort, saving us a lot of time.

I can estimate that my team has saved an immense amount of time and resources since implementing automated patch management with Ivanti Autonomous Endpoint Management, where I now manage tasks that previously required a whole team of over 100 IT members.

Regarding improvements for Ivanti Autonomous Endpoint Management, I would suggest including other operating systems like Ubuntu and improving the remote control functionality, especially for users on VPN.

Ivanti Autonomous Endpoint Management provides a lot of features, and I do not want to add anything else beyond the suggestions for Ubuntu and the remote control part, as everything else is good.

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

Ivanti Autonomous Endpoint Management is stable in my experience, except for the remote control part.

Ivanti Autonomous Endpoint Management has good scalability, though I notice some slowness in the management console on our on-premises servers.

I rate the customer support for Ivanti Autonomous Endpoint Management a 10 out of 10, specifically praising Chandip, one of my support team members, who is very helpful.

This is the first solution that I have used, and I did not switch from any other solution.

The pricing, setup cost, and licensing for Ivanti Autonomous Endpoint Management are handled by our procurement team.

We have a customer relationship with the vendor and have taken other services.

I have seen a return on investment from using Ivanti Autonomous Endpoint Management, as one person is able to manage patching through it effectively.

The pricing, setup cost, and licensing for Ivanti Autonomous Endpoint Management are handled by our procurement team.

Before choosing Ivanti Autonomous Endpoint Management, we evaluated other options, but we found that their pricing was good and the application met all of my needs.

My advice for others looking into using Ivanti Autonomous Endpoint Management is that if they have fewer people to manage systems, they should definitely opt for Ivanti Autonomous Endpoint Management since it improves management efficiency. I have rated this product an 8 overall.

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.