Brief

Many software quality assurance teams rely on vanity metrics like test coverage and automation rates, which can create a false sense of security. These metrics measure activity rather than actual software safety or business impact. QA leaders should instead focus on outcome-oriented metrics such as escaped defects, critical journey coverage gaps, defect trends, and business-facing signals like downtime risk to provide leadership with genuine insights into release readiness and product quality. AI

The increasing interconnectedness of devices and services presents growing cyber risks, with AI-powered threats exacerbating these vulnerabilities. Experts highlight overlooked areas such as silent security control failures, unmonitored shadow APIs, and excessive data collection by smart devices. Practical solutions include continuous verification of security controls, implementing zero-trust for machine-to-machine connections, and mandating credential rotation before devices join networks. AI