Platier Launches Test Management Solution for Air-Gapped Environments
Platier has introduced a test management solution designed for air-gapped environments.
On October 26, Platier said its XGEN Test Management System is a solution that integrates and manages the entire quality verification process, from requirements management to test design and execution, and defect tracking during software development. It supports the automation of testing work by integrating with XGEN, Platier's proprietary agentic AI platform. The system is designed to let users selectively use various AI engines, including in-house large language models (LLMs) and open-source models.
The XGEN Test Management System analyzes development requirements to automatically generate test cases and identifies functions affected by system changes to recommend the scope of re-verification. This reduces repetitive verification work and enables systematic management of quality verification records through a traceability matrix that links requirements, test results, and defect resolution details.
Another feature is its flexible AI integration architecture, which supports air-gapped environments. Companies can choose AI engines suited to their operating environments, including in-house LLMs, open-source models, and commercial APIs. In air-gapped environments, they can use AI-powered test management features without sending data outside the organization. Even if the AI model is changed, existing test cases and verification records are retained, reducing dependence on any particular model. The system also supports integrated management of test results through connections with existing development and testing tools such as Jira and Tosca. With this launch, Platier plans to strengthen the integration of its existing test automation business with its proprietary AI technology and expand its market presence, focusing on the financial, manufacturing, and public sectors.
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“We developed the XGEN Test Management System because we determined that companies need a management framework that incorporates AI into quality management while avoiding dependence on any particular AI model or test execution tool,” said Jang Jaewoong, head of Platier's IDT Business Division. “We expect it to contribute to greater efficiency and structure in software quality management by flexibly accommodating the security environments and existing development frameworks of individual companies.”
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