Ivanti Autonomous Endpoint Management Reviews

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Ivanti Autonomous Endpoint Management is stable.

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

Customer support is really poor.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Ivanti Neurons for UEM is stable.

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

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

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

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

My main use case for Ivanti Autonomous Endpoint Management is to have streamlined management of all the endpoints within our infrastructure, whether related to VDI or our Citrix infrastructure. We used to have all policies and specific configurations related to registries, files, and startup scripts that could be done without group policy, which we managed via Ivanti application.

To cater to all policies related to what we have set within group policy, including computer policies or user policies, since Ivanti takes precedence over group policies within the infrastructure, we apply similar computer policies or user policies along with any additional policies required, such as disabling drives, hiding drives, getting permissions, catering permissions, and how permissions act on those devices. We manage these in our infrastructure along with creating registries for user-specific items, such as HKCU-specific items that we can publish to remediate application-related issues or to enforce computer-level or user-level policies.

We are mostly using Ivanti Autonomous Endpoint Management for endpoint management and not for other applications or patch management. Our use is specifically focused on endpoint management.

The best features Ivanti Autonomous Endpoint Management offers include automatically detecting, diagnosing, and fixing common endpoint issues. Through this, it allows more strategic work instead of repetitive troubleshooting tasks, reduces service tickets, provides patch management, and offers visibility of endpoints.

The automatic detection and fixing of endpoint issues for my team works by continuously monitoring the endpoint's health, including high CPU usage, memory usage, failed services, missing patches, and disk space. It collects all that telemetry, aligns it, and accordingly determines what caused the problem. Autonomous tasks such as restarting failed services, clearing temporary files, reinstalling or repairing applications, applying missing patches, and correcting configuration-related issues are performed, along with running automation scripts. Ivanti Autonomous Endpoint Management also verifies that it has completed the automatic fixing process.

Ivanti Autonomous Endpoint Management has impacted my organization positively through automatic detection and fixing of problems with continuous monitoring of endpoint health. We were mostly dealing with non-persistent VDI infrastructure where we experienced issues related to high CPU usage, memory usage, and slowness. This solution helped fix those issues related to non-persistent VDIs, which was the major portion we were experiencing.

An improvement Ivanti Autonomous Endpoint Management needs is a dashboard that shows which devices are not in sync or a proper dashboard that displays all telemetries related to machines with high CPU, RAM, missing patches, or those needing attention, or a health check. Such a dashboard would be helpful to have an overview of the infrastructure.

The reason I chose an eight instead of a higher score is that a dashboard would make it ten out of ten. With a dashboard, we would have a better overview of the entire infrastructure instead of just having the console which only shows configurations. A dashboard with an overview of the entire infrastructure and health check, integrated within Ivanti Autonomous Endpoint Management instead of having a different application, would be helpful.

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

Ivanti Autonomous Endpoint Management is stable.

The customer support for Ivanti Autonomous Endpoint Management is pretty good. We were able to get hold of all our queries via the customer support and IT support of Ivanti.

I have used different solutions before. We have used FSLogix, Citrix UPM, and Citrix WEM. The switching was not initiated from my side, as the project I was working on was using Ivanti Autonomous Endpoint Management, so I had to work on it.

The advice I would give to others looking into using Ivanti Autonomous Endpoint Management is that it is a vast and very trustworthy application with vast features that you can use for entire endpoint management along with patching and app controls. It has significantly more capability than what we were using. It is a tool to look forward to. I would rate this product an eight 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 Autonomous Endpoint Management is an AI-driven approach that helps the IT and security teams automatically discover, monitor, manage, protect, and fix the endpoint devices with minimal manual intervention.

In simple terms, it replaces traditional endpoint management that required an IT administrator to identify and fix problems. I use this in my day-to-day work for device monitoring, software deployment, patch management, troubleshooting, disk cleanups, security compliance, and IT workflows.

A recent situation where Ivanti Autonomous Endpoint Management helped me manage or fix an endpoint issue involved the traditional approach where users raise a ticket, and the IT administrator investigates the laptop, checking disk usage. Suppose we have a laptop with low disk space; the user raises a ticket, the IT administrator checks the disk usage, runs a cleanup script, and then closes the ticket. In contrast, with Ivanti Autonomous Endpoint Management, it monitors the endpoint health, identifies a low disk space issue, detects the condition through configured automation, and runs an approved remediation workflow. The system checks whether the issue has been resolved or not, which results in less repetitive manual work and potentially faster resolution.

I use Ivanti Autonomous Endpoint Management for managing and securing endpoints across their lifecycle, for example, device enrollment, software deployment, configuration management, OS provisioning, and remote device sections. This connects closely to my existing Ivanti EPM responsibilities. We also have an autonomous patch management system that prioritizes and remediates vulnerabilities through risk-based patching and automation.

Based on the work I am doing right now, the best features that Ivanti Autonomous Endpoint Management offers are autonomous self-healing and remediation. These features help detect endpoint issues and automatically execute configured fixes, reducing the need for manual intervention.

In the traditional approach, we would raise a ticket, the admin investigates, runs a cleanup script, and verifies the result. Now the system detects the issue, automation identifies the condition, and configured remediation runs, checking the outcome. This approach reduces repetitive work and potentially leads to faster issue resolution. Other important features we have include AI-powered automation, autonomous patching, endpoint visibility, self-healing, and DEX scores.

Regarding AI-powered automation and autonomous patching, AI-powered automation helps automate endpoint management tasks while autonomous patching supports risk-based patching prioritization and remediation.

For example, when I face an Ivanti agent health issue across 500 machines, the traditional approach requires the admin to check the console, identify machines with unhealthy agents, connect to them, and run scripts. With the help of automation and Ivanti Neurons, we use configured workflows to detect and remediate supported issues. For example, an automated bot checks the agent service when an agent health issue is detected and restarts the service. In patching, suppose we have a vulnerable version of Google Chrome installed on 2,020 laptops; the autonomous patching ability supports risk-based prioritization and automated remediation workflows, detecting endpoints and prioritizing remediation with less manual intervention.

Ivanti Autonomous Endpoint Management has positively impacted my organization by allowing IT teams to move from manually fixing endpoint problems to proactively detecting and automating their resolution. Our focus is on endpoint management, patch management, security, production machines, and IT operations, whereas previously we did manual monitoring and troubleshooting, manual patch deployment and follow-ups, in addition to manually investigating vulnerabilities needing admin intervention.

Thanks to Ivanti Autonomous Endpoint Management capabilities, we automatically monitor and remediate, perform risk-based prioritization and automation, and configure automated fixes. This has resulted in reduced repetitive IT workload, improved patch compliance, decreased time to address vulnerabilities, reduced downtime, and decreased ticket volume.

To improve Ivanti Autonomous Endpoint Management, I believe we should focus on automating recurring problems, improving detection, and measuring results. Initially, identifying the top recurring tickets and analyzing Ivanti Service Manager's ticket data is crucial.

For instance, for agent issues such as the Ivanti agent service stopped, we need to automate service remediation. In terms of patch failures, sometimes patches can fail, so automated retries and diagnostics should be implemented for failed patches. The aim is to minimize human intervention and ticket volumes.

I have been using Ivanti Autonomous Endpoint Management in my role for the last two years.

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.