JMP Pro 19.1.3发布：强大统计软件修复多项安全漏洞

JMP Pro 19.1.3是专为科学家与工程师设计的统计软件，提供数据准备、分析与可视化工具，无需编程即可轻松应对复杂数据挑战。本次更新修复了CVE-2025等多达11个安全漏洞，推荐用户升级以确保安全与性能。

原始标题：JMP Statistical Discovery JMP Pro 19.1.3

JMP是一款功能强大的统计软件，专为科学家和工程师设计，是解决数据问题的理想选择。JMP配备了用于数据准备、分析、绘图等工具，拥有您和您的组织真正无可挑剔的数据所需的一切。

统计数据变得直观、强大且易于理解。
JMP使应对最复杂的数据挑战变得容易。其简单的交互式界面让您可以进一步提高工作效率，并且无需代码，您与想要创建的任何分析或图表之间没有任何障碍。

JMP Statistical Discovery has released JMP Pro  is a statistical software environment that enables scientists, engineers, and business analysts to make discoveries through data exploration.

Vulnerabilities addressed in the JMP 19.0.5 release

CVE-2025-10966 (Severity: Medium)
CVE-2025-11468 (Severity: Medium)
CVE-2025-13034 (Severity: Medium)
CVE-2025-14017 (Severity: Medium)
CVE-2025-14524 (Severity: Medium)
CVE-2025-14819 (Severity: Medium)
CVE-2025-15079 (Severity: Medium)
CVE-2025-15282 (Severity: Medium)
CVE-2026-0672 (Severity: Medium)
CVE-2026-0865 (Severity: Medium)
CVE-2025-15224 (Severity: Low)

JMP is powerful statistical software designed with scientists and engineers in mind, but ideal for anyone solving problems with data. Packed with tools for data preparation, analysis, graphing, and so much more, JMP has everything you and your organization need to be truly unstoppable with data.

This video highlights the Bayesian optimization platform for accelerated innovation, advancements in causal inference, mixed models with stability analysis, and functional data explorer improvements tailored for analytical chemistry applications. Perfect for professionals seeking cutting-edge tools for data analysis and innovation.
JMP Statistical Discovery specializes in statistical discovery software. Its products facilitate data analysis and visualization for various scientific and engineering applications. It primarily serves sectors such as green energy technologies and pharmaceuticals. It was founded in 1989 and is based in Cary, North Carolina. In 1989, JMP was launched as a SAS product – one of the many software products developed and sold by the global software giant. After more than 30 years as a business unit, JMP became a wholly owned subsidiary of SAS. As its own company, with a different user base than SAS and different goals for its statistical offerings, JMP is moving in a different direction from SAS. Specifically, JMP is embracing the challenges of analytical practitioners within the science and engineering community.

官方网站：http://www.jmp.com