Sembi releases TestRail 10.5 and Xray 15.0. June 25, 2026 Sembi announced AI Test Prioritization in TestRail 10.5 and Xray 15.0. This new feature joins the portfolio of AI-powered process improvements already available in TestRail, a dedicated QA test management platform, and Xray, a test management solution for Jira, to help quality professionals identify high-risk tests faster using AI-powered prioritization based on historical risk, defect patterns, and semantic context. 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. "Traditional prioritization models can make it difficult to identify risks when there's little to no execution data available," said Annie O'Brien, Head of Product Management at Xray. "By 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." Integrated across Sembi's testing portfolio, AI Test Prioritization leverages tailored machine learning to guide engineers on which tests to prioritize first based on their individual goals: - Prioritize High-Risk Tests Automatically: Scores every test based on analysis of execution history ranging from seven days to 180 days, eliminating the need for manual execution log review and unlocking actionable data. - Test Ranking with AI-Driven Semantic Analysis: Uses specific labels (compliance, security, performance) and historical risk signals to create a more meaningful execution order. - Transparent AI Recommendations: Prioritizes tests with AI-generated values and reasonings, giving teams more confidence in their testing plans. For 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. To 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. "AI Test Prioritization represents the next step in the AI-powered testing workflow we're building across our testing solutions," said Judy Bossi, Vice President of Product at Sembi. "Over 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." Industry news. June 25, 2026 Sembi announced AI Test Prioritization in TestRail 10.5 and Xray 15.0. June 25, 2026 Azul launched a free JVM vulnerability risk assessment to address the blind spot that autonomous AI exploitation tools are increasingly able to find. June 24, 2026 CData Software launched three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData CLI. June 24, 2026 Liquibase released the open source Liquibase CVE Library (Common Vulnerabilities and Exposures Library) to foster security and transparency across the Liquibase Community. June 24, 2026 Flux announced $5 million in new funding led by Calibrate Ventures. June 23, 2026 The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the intent to launch the Agent Name Service (ANS), a new open standard designed to provide trusted identity, verification, and discovery for AI agents operating across the internet. June 23, 2026 Secure Code Warrior introduced its new SCW AI Adoption Model, a practical framework that maps the full progression of AI use in software development, from minimal AI assistance or fully autonomous agentic orchestration. June 23, 2026 Snyk announced Evo Agentic Development Security (ADS), extending security coverage to the AI workforce powering modern software development. June 23, 2026 Momentic launched a major platform update that rethinks software verification for the AI era. June 22, 2026 Check Point(R) Software Technologies Ltd.(link is external) announced the use of OpenAI's frontier cyber capabilities into its customer-facing defenses. June 22, 2026 TypeMock announced the launch of TypeMock Test Review, a new solution that helps software development teams evaluate the quality of their unit tests by identifying duplicate, fragile, ineffective, and high-maintenance tests that wasn't required before AI generated tests. June 18, 2026 Check Point(R) Software Technologies Ltd.(link is external) announced its upcoming integration with Amazon Bedrock AgentCore. June 18, 2026 UltraViolet Cyber (UltraViolet) announced the launch of UltraViolet Solstice, its proprietary AI platform for application penetration testing. June 18, 2026 Infragistics launched three integrated AI development tools that make up its new Ignite UI Enterprise MCP toolchain.

Sembi, a SaaS portfolio specialising in software testing and security solutions, has appointed Mark Haney as its new Chief Technology Officer (CTO), the company confirmed.