CAST AI vs Ivanti Autonomous Endpoint Management comparison

CAST AI and Ivanti are both solutions in the Cloud Cost Management category. CAST AI is ranked #13 with an average rating of 8.6, while Ivanti is ranked #19 with an average rating of 7.8. Additionally, 100% of CAST AI users are willing to recommend the solution, compared to 96% of Ivanti users who would recommend it.

CAST AI

Read 8 CAST AI reviews

1,650 Views
1,650 Comparison Views

100% willing to recommend

Ivanti Autonomous Endpoint ...

Read 34 Ivanti Autonomous Endpoint Management reviews

7,317 Views
293 Comparison Views

96% willing to recommend

CAST AI

Ivanti Autonomous Endpoint ...

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Aug 4, 2026

CAST AI and Ivanti Autonomous Endpoint Management compete in cloud optimization and endpoint management, respectively. CAST AI appears to have an edge in Kubernetes optimization due to its ability to significantly reduce cloud costs and automate resource management.

Features:CAST AI offers automated Kubernetes cost optimization, intelligent auto-scaling, and spot instance management, focusing on workload right-sizing and analytics. Ivanti provides real-time endpoint visibility, AI-powered automation, and centralized management, enhancing operational efficiency and ease of use.

Room for Improvement:CAST AI might improve by enhancing user interface customization and expanding support for additional cloud platforms. Additionally, refining integration with diverse IT ecosystems could benefit users. Ivanti could enhance its solution by offering better mobile device management functionality and improving its reporting tools for more detailed analytics. Greater support for non-standard operating systems would also be beneficial.

Ease of Deployment and Customer Service:CAST AI's deployment process focuses on integrations with cloud environments, providing robust automation support and resource recommendations. Customer service is responsive and geared towards reducing manual management tasks. Ivanti offers a straightforward deployment process with an emphasis on centralized control, providing strong customer support aimed at IT management efficiency and problem resolution.

Pricing and ROI:CAST AI uses a usage-based pricing model aligned with value delivery, providing significant ROI through cost reductions and enhanced resource utilization, with clients reporting a 30-40% decrease in cloud expenses. Ivanti's pricing is moderate, with ROI achieved through reduced IT management efforts and efficient endpoint control, offering an advantageous pricing strategy for comprehensive endpoint management.

To learn more, read our detailed Cloud Cost Management Report (Updated: July 2026).

Buyer's Guide

Cloud Cost Management

July 2026

Download the complete report

Helped 909,153 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

7.4

Organizations saved 20-40% on cloud costs with CAST AI, enhancing efficiency and reallocating funds to high-priority tasks.

Sentiment score

5.5

Ivanti Autonomous Endpoint Management boosts ROI by saving time, reducing manual tasks, and optimizing license management for cost efficiency.

I have seen a return on investment, and the ROI was visible within a few months through cloud cost reduction alone.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

The ROI was visible within a few months through cloud cost reduction alone.

DeepPujara

Siem Engineer at a tech services company with 11-50 employees

CAST AI has reduced approximately 40% of our AWS bills and AWS cloud bills.

DeepakReddy

Sr.Devops engineer at Scaler

For more quotes and insights, download the CAST AI report

We can remove or add licenses according to business requirements, and it is all controlled within the application.

MohamedElmasry

Manager, Information Technology Support at FEFundInfo

The client was already paying for Microsoft Intune and was able to decommission Ivanti Neurons for UEM.

reviewer2879604

Lead Consultant at a outsourcing company with 1,001-5,000 employees

Tasks such as patching, software deployment, and troubleshooting that earlier took hours are now done in minutes.

reviewer2868204

Soc Analyst 11 at a tech services company with 11-50 employees

For more quotes and insights, download the Ivanti Autonomous Endpoint Management report

Customer Service

Sentiment score

8.1

CAST AI's customer service is praised for responsiveness, expertise, effective guidance, and high satisfaction in Kubernetes environments.

Sentiment score

7.2

Ivanti's customer support is responsive and competent, with occasional integration issues and calls for improved communication and efficiency.

I would rate the customer support 10 out of 10.

Udit Parekh

DevOps Engineer at Veefin

The governance and security of CAST AI are solid, providing sufficient visibility into cluster changes and optimization actions.

HarshShah2

DevOps Engineer at Veefin Solutions Ltd.

Response times are reasonable and the team is knowledgeable.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

For more quotes and insights, download the CAST AI report

I am concerned about consistently needing to call support for installing brand new solutions.

reviewer1810833

CEO at a tech services company with 1-10 employees

They are responsive, stick to time, and are enthusiastic about helping.

Phung Anh

IT Administrator at FPT Software Strategic Unit no 17

Occasionally, we also experienced delays between systems, particularly with user group changes and device compliance updates.

reviewer2882148

Director at a tech vendor with 501-1,000 employees

For more quotes and insights, download the Ivanti Autonomous Endpoint Management report

Scalability Issues

Sentiment score

6.8

CAST AI offers robust scalability, efficiently managing dynamic Kubernetes environments and workloads without performance bottlenecks, ensuring automatic adaptability.

Sentiment score

7.4

Ivanti Autonomous Endpoint Management is scalable, efficiently managing devices from small to large enterprises, with room for automation improvement.

It is a SaaS platform that will scale automatically.

Udit Parekh

DevOps Engineer at Veefin

CAST AI's scalability is very good; it scales effectively with cluster growth and increasing workload complexity.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

It scales effectively with cluster growth and increasing workload complexity.

DeepPujara

Siem Engineer at a tech services company with 11-50 employees

For more quotes and insights, download the CAST AI report

I would rate the scalability as nine out of ten.

Aline Klopfen

IT System Specialist at Conseil de l Europe

There is no limitation in scalability; Ivanti Neurons for MDM is very scalable.

Bon Ryan Fran

Solutions Architect at M.Tech

As a Microsoft consultant, I think Intune is always going to win over anything else if the client is already paying for an E3 or E5 license.

reviewer2879604

Lead Consultant at a outsourcing company with 1,001-5,000 employees

For more quotes and insights, download the Ivanti Autonomous Endpoint Management report

Stability Issues

Sentiment score

9.0

CAST AI reliably excels in Kubernetes environments, with no downtime, effectively implementing user-approved optimization suggestions consistently.

Sentiment score

8.0

Ivanti Neurons for UEM is stable, praised for reducing downtime despite support and integration enhancement suggestions.

In most cases, the optimization suggestions are practical and effective.

HarshShah2

DevOps Engineer at Veefin Solutions Ltd.

CAST AI has proven to be stable and reliable in production environments.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

For more quotes and insights, download the CAST AI report

We have not seen any downtime.

reviewer2885868

Principal Consultant at a tech vendor with 10,001+ employees

Regarding the self-healing capabilities, I would say it has reduced downtime by around thirty to forty percent.

reviewer2809476

Technical Account Manager at a computer software company with 11-50 employees

It delivers very good UEM capabilities.

reviewer2882148

Director at a tech vendor with 501-1,000 employees

For more quotes and insights, download the Ivanti Autonomous Endpoint Management report

Room For Improvement

CAST AI needs improvements in documentation, interface, customization, reporting, cost insights, automation, governance, and cloud integration for Kubernetes.

Ivanti's usability, integrations, and support need improvements, including navigation, pricing, language, training, stability, and reporting system enhancements.

There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing.

DeepakReddy

Sr.Devops engineer at Scaler

More detailed documentation and deeper visibility into certain optimization decisions would also be helpful.

Udit Parekh

DevOps Engineer at Veefin

To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies.

HarshShah2

DevOps Engineer at Veefin Solutions Ltd.

For more quotes and insights, download the CAST AI report

It would be helpful if the documentation could easily help us fix bugs on our own.

Phung Anh

IT Administrator at FPT Software Strategic Unit no 17

The test team or the testing procedures are flawed because they release new versions with numerous basic issues.

reviewer1810833

CEO at a tech services company with 1-10 employees

The history of patching is missing from the solution, making it a challenge.

Aline Klopfen

IT System Specialist at Conseil de l Europe

For more quotes and insights, download the Ivanti Autonomous Endpoint Management report

Setup Cost

Enterprise users commend CAST AI for its cost-effective, usage-based pricing, enhancing savings and operational efficiency for large Kubernetes environments.

Ivanti pricing ranges from $8 to $45 per node annually, considered mid- to high-range compared to alternatives.

In terms of pricing, I believe the pricing is reasonable because of the amount of savings and operational efficiency it delivers, making it easier to justify the investment.

Udit Parekh

DevOps Engineer at Veefin

I have not found the price to be too high for the features it provides.

reviewer2858520

Cloud Architect at a tech vendor with 10,001+ employees

Pricing was reasonable considering the cost savings achieved

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

For more quotes and insights, download the CAST AI report

This is not a cheap solution.

reviewer1810833

CEO at a tech services company with 1-10 employees

Regarding pricing, I would say Ivanti Neurons for UEM falls at a nine out of ten.

reviewer2809476

Technical Account Manager at a computer software company with 11-50 employees

The price for this solution seems to be reasonable for my company.

Aline Klopfen

IT System Specialist at Conseil de l Europe

For more quotes and insights, download the Ivanti Autonomous Endpoint Management report

Valuable Features

CAST AI optimizes Kubernetes with automated scaling, cost efficiency, resource management, and recommendations, enhancing performance and reducing expenses.

Ivanti Autonomous Endpoint Management enhances efficiency with AI automation, centralized management, user-friendly interface, and comprehensive policy enforcement.

CAST AI has had a positive impact on my organization through cost reduction. On average, I think the savings are between 15 and 20 percent, and for certain workloads, these savings can be even higher.

reviewer2858520

Cloud Architect at a tech vendor with 10,001+ employees

CAST AI has positively impacted our organization by reducing cloud costs, improving resource utilization, and allowing our engineering team to spend less time managing infrastructure and more time on platform improvements.

Ashutosh Parmar

DevOps Engineer at Veefin Solutions

With CAST AI, nodes are added or removed automatically as workloads change, helping us maintain application performance while reducing unnecessary cloud costs.

DeepPujara

Siem Engineer at a tech services company with 11-50 employees

For more quotes and insights, download the CAST AI report

The most effective feature of Ivanti Neurons for Patch Management is its reactivity when a patch is released before its due date.

Aline Klopfen

IT System Specialist at Conseil de l Europe

It integrates into InTune, which enables us to detect, diagnose, and fix issues without manual intervention.

reviewer2809476

Technical Account Manager at a computer software company with 11-50 employees

AI-powered automation and self-healing are additional features that automatically fix common issues and reduce manual work.

reviewer2868204

Soc Analyst 11 at a tech services company with 11-50 employees

For more quotes and insights, download the Ivanti Autonomous Endpoint Management report

Categories and Ranking

CAST AI

Ranking in Cloud Cost Management

13th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Ivanti Autonomous Endpoint ...

Ranking in Cloud Cost Management

19th

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

IT Asset Management (8th), Vulnerability Management (25th), Mobile Device Management (MDM) (6th), Enterprise Mobility Management (EMM) (5th), Mobile Threat Defense (5th), Patch Management (5th), Attack Surface Management (ASM) (18th), Unified Endpoint Management (UEM) (6th), Application Security Posture Management (ASPM) (8th), Autonomous Endpoint Management (4th)

Featured Reviews

DeepakReddy

Sr.Devops engineer at Scaler

Automated cost controls have cut cloud waste and free our team to focus on new projects

CAST AI can be improved in that automation policies require careful tuning. Sometimes it can be confusing for non-technical people or managers who are not familiar with technical details. However, it is good for technical people who are already into DevOps or cloud engineering. Spot strategies may need adjustment for sensitive workloads. The reporting and UI part can be somewhat better. Technical support can also be improved. Documentation is somewhat unclear sometimes, but not everywhere. There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing. These features are very good for our organization because they reduce a lot of cost and reduce a lot of manual effort. However, some things can be improved, such as automation policies that require careful tuning and may need somewhat more help. Spot strategies can be improved, and some UI and documentation can also be improved.

Read full review

reviewer2882148

Director at a tech vendor with 501-1,000 employees

Automated onboarding has saved hundreds of hours and now standardizes device security globally

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.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Cost Management solutions are best for your needs.

See recommendations

909,153 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Outsourcing Company

25%

Energy/Utilities Company

12%

Construction Company

Educational Organization

Financial Services Firm

Comms Service Provider

Manufacturing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	3
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	9
Large Enterprise	21

Questions from the Community

What is your experience regarding pricing and costs for CAST AI?

CAST AI provides 80% to 85% accuracy. Because it is an AI system, sometimes it can make mistakes, but providing 80% to 85% accuracy is a pretty good number for any normal tool. It is good.

See all answers

What needs improvement with CAST AI?

I would like to see CAST AI improved with deeper and more intelligent answers and solutions, along with additional optimization and customization options. The customization option in particular cou...

See all answers

What is your primary use case for CAST AI?

My primary use case for CAST AI is Kubernetes cost efficiency, and since I handle the cloud system as well, CAST AI has been instrumental in helping me. We mainly use it to automate processes in AW...

See all answers

What is your experience regarding pricing and costs for Ivanti Neurons for UEM?

Regarding pricing, I would say Ivanti Neurons for UEM falls at a nine out of ten.

See all answers

What needs improvement with Ivanti Neurons for UEM?

The price being quite high and the limited container storage are areas that have room for improvement.

See all answers

What is your primary use case for Ivanti Neurons for UEM?

I use Ivanti Neurons for UEM for mobile device management, and I can describe the use case. The remote device management feature has helped our remote work strategy because manual intervention is n...

See all answers

Comparisons

Turbo360 (Formerly Serverless360) vs CAST AI

Compared 21% of the time

IBM Turbonomic vs CAST AI

Compared 14% of the time

Spot by Flexera vs CAST AI

Compared 11% of the time

Apptio Cloudability vs CAST AI

Compared 9% of the time

Densify vs CAST AI

Compared 9% of the time

More CAST AI Competitors

Microsoft Intune vs Ivanti Autonomous Endpoint Management

Compared 8% of the time

ProcessUnity vs Ivanti Autonomous Endpoint Management

Compared 4% of the time

BlackBerry Enterprise Mobility Suite vs Ivanti Autonomous Endpoint Management

Compared 4% of the time

Microsoft Windows Server Update Services vs Ivanti Autonomous Endpoint Management

Compared 4% of the time

Tenable Security Center vs Ivanti Autonomous Endpoint Management

Compared 3% of the time

More Ivanti Autonomous Endpoint Management Competitors

Product Reports

Buyer's Guide

CAST AI

August 2026

Download CAST AI product report

Buyer's Guide

Ivanti Autonomous Endpoint Management

August 2026

Ivanti Autonomous Endpoint Management report

Download Ivanti Autonomous Endpoint Management product report

Also Known As

No data available

Ivanti Neurons for Patch Management,Ivanti Neurons for RBVM,Ivanti Neurons for VULN KB,Ivanti Mobile Threat Defense,Ivanti Neurons for Spend Intelligence, Ivanti Neurons Patch for Intune, Ivanti Neurons for EASM

Interactive Demo

Demo not available

CAST AI

Ivanti

Overview

CAST AI is revered for its powerful cloud optimization capabilities, notably in cost reduction, performance enhancement, and security strengthening. It automates resource management and scales operations efficiently, leading to significant organizational improvements in efficiency, cost savings, and smoother cloud integration and management.

CAST AI

Ivanti Autonomous Endpoint Management leverages AI-powered automation for comprehensive endpoint control. It offers centralized management, real-time visibility, efficient patch deployment, and supports diverse operating systems.

Ivanti Autonomous Endpoint Management integrates AI-driven automation, providing a unified dashboard for streamlined IT operations. Its features include efficient patch management and real-time device monitoring, enhancing IT security and compliance. While comprehensive, improvements in dashboard simplicity, third-party integration, and AI feature clarity are desired. It serves multiple operating systems for seamless operation across various devices, and while effective, enhancements in UI navigation and reporting are suggested. Companies find it vital for centralized device management, compliance enforcement, and automated IT task handling.

What are the most important features?

AI-powered Automation: Reduces manual work through intelligent automation.
Centralized Management: Unified control of devices from a single interface.
Real-time Visibility: Instant access to device status and operations.
Efficient Patch Management: Prioritizes and automates patch deployments.
Neurons Bots: Automates complex IT processes, enhancing efficiency.

What benefits or ROI should users look for?

Time Savings: Automation reduces manual task duration significantly.
Improved Compliance: Ensures security protocol adherence with ease.
Streamlined Operations: Centralized management simplifies IT workflows.
Enhanced Security: Effective patch management reduces vulnerability risks.
Device Health Monitoring: Supports continuous oversight of device status.

In industries like finance, education, and healthcare, Ivanti Autonomous Endpoint Management is deployed for managing diverse device environments. It's used for securing sensitive data, ensuring compliance in regulated industries, and optimizing IT service desk operations. Its capabilities aid in provisioning devices and maintaining an up-to-date inventory, crucial for sectors with stringent security requirements.

Ivanti

Sample Customers

Information Not Available

Frontier Airlines

Buyer's Guide

Cloud Cost Management

July 2026

Download Free Report

Find out what your peers are saying about Nutanix, IBM, Microsoft and others in Cloud Cost Management. Updated: July 2026.

DOWNLOAD NOW

909,153 professionals have used our research since 2012.

See our list of best Cloud Cost Management vendors.

We monitor all Cloud Cost Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.