Best Engineering Software for Azure DevOps Projects

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Compare the Top Engineering Software that integrates with Azure DevOps Projects as of July 2025

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This a list of Engineering software that integrates with Azure DevOps Projects. Use the filters on the left to add additional filters for products that have integrations with Azure DevOps Projects. View the products that work with Azure DevOps Projects in the table below.

What is Engineering Software for Azure DevOps Projects?

Engineering software is software used by engineers to design, analyze and manufacture various products. It includes a wide range of applications such as CAD/CAE software, analysis tools, optimization tools, and programming tools. Engineering software can be used for a variety of tasks such as designing mechanical parts, analyzing structural stability, simulating system performance, and optimizing product designs. These applications enable engineers to optimize their designs for cost reduction and increased efficiency. Compare and read user reviews of the best Engineering software for Azure DevOps Projects currently available using the table below. This list is updated regularly.

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    Ivanti Neurons for IIoT
    Ivanti Neurons for Security Operations Management provides a centralized platform for tracking and automating the remediation of security events and vulnerabilities across service management, operations, and development. All security events are created as incidents, prioritized, and linked to configuration items in the CMDB, enabling teams to manage the full incident lifecycle, from investigation and change-management workflows to resolution, while logging, classifying, and tracking vulnerability remediation based on Ivanti’s Risk-Based Vulnerability Management. Out-of-the-box integrations with Azure DevOps and Jira (or any external solution via REST APIs) ensure that security findings flow directly into DevOps pipelines, keeping remediation activities aligned with development efforts. Configurable dashboards and analytics deliver real-time visibility into risks, affected assets, and remediation status, and automated workflows assign tasks to the right teams to boost efficiency.
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