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<\/a><\/a>\nAs the volume of AI-generated code ramps up, only 17%<\/a> of engineering teams feel their testing has improved, according to Sembi\u2019s Software Quality Pulse Report. Teams waste valuable time manually deciding what to test first, while critical defects can remain buried inside hundreds of AI-driven test cases.<\/p> \nUnlike traditional prioritization tools that primarily rely on past failures, TestRail 10.5 and Xray 15.0 combine machine learning with AI-driven semantic analysis to identify high-risk tests even when little to no execution history exists.<\/p> \n\u201cTraditional prioritization models can make it difficult to identify risks when there\u2019s little to no execution data available,\u201d said Annie O\u2019Brien, Head of Product Management at Xray. \u201cBy combining historical risk signals with AI-driven semantic analysis, teams can go beyond historical patterns to identify the tests most likely to uncover defects and focus on what matters most.\u201d<\/p> \nIntegrated across Sembi\u2019s testing portfolio, AI Test Prioritization leverages tailored machine learning to guide engineers on which tests to prioritize first based on their individual goals:<\/p> \nFor Xray customers, AI Test Prioritization brings intelligent risk-based testing directly into Jira-native workflows, helping agile and DevOps teams prioritize testing in the same environment where they manage requirements, issues, and releases. For TestRail customers, it supports dedicated QA teams managing structured test repositories and complex test suites, helping them focus execution on the tests most likely to uncover risk.<\/p> \nTo support customer control and data governance, TestRail and Xray both provide administrative controls for managing AI functionality, including the ability to disable AI features at the instance, user, or project level. Customer data is not used to train, fine-tune, or improve generally available AI models. Any data processed by AI services is handled securely, encrypted both in transit and at rest, and is not persistently stored beyond the processing required to deliver the requested functionality.<\/p> \n\u201cAI Test Prioritization represents the next step in the AI-powered testing workflow we're building across our testing solutions,\u201d said Judy Bossi, Vice President of Product at Sembi. \u201cOver the last year, we've introduced AI capabilities that help teams create test cases, accelerate automation, evaluate AI systems, and now prioritize execution. As agentic orchestration and MCP begin to reshape what's possible across the software quality lifecycle, we're excited by the potential to create even more connected and intelligent quality experiences in the future.\u201d<\/p> \nLearn more about Sembi AI Test Prioritization with TestRail here<\/a> and Xray here<\/a>.<\/p> \nAbout Sembi<\/b><\/p> \nSembi empowers organizations with world-class solutions for product quality and security management. Our comprehensive suite of tools enhances testing, strengthens security, and ensures superior product performance. Focused on automation, enterprise-scale capabilities, and AI readiness, Sembi is shaping the future of software quality for over 20,000 customers worldwide. Learn more at https:\/\/www.sembi.com\/<\/a><\/p>\n