Ivanti Autonomous Endpoint Management Reviews

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.

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 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 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.

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.

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.

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 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.