Systems | Development | Analytics | API | Testing

Large language models are under threat from a tactic called LLM grooming, where bad actors flood public data sources with biased or misleading content to influence AI training behind the scenes. Hemraj Bedassee , Senior Solutions Manager, AI Testing,

Smartphone users worldwide are expected to reach 7.7 billion by 2028. With such an enormous and growing user base, non-functional requirements like performance, security, reliability, and usability can make or break businesses.

Test case prioritization helps you rank test cases based on importance. It ensures you test the most critical features first. This approach saves time, improves software quality, and helps you catch high-risk defects early. Putu Kusumawardhani , Director, Client Impact,

AI systems are only as reliable as the testing behind them. Red teaming brings a fresh, proactive approach to testing by helping you spot risks early. Hemraj Bedassee , Senior Solutions Manager, AI Testing,

In quality engineering, axioms are foundational truths drawn from years of practice that underpin effective, scalable automation systems.

One of the biggest challenges in software testing is not having the right visibility. Too little knowledge, and you’re guessing. Too much, and you get bogged down in code.

Quality engineering and assurance efforts, and testing as a part of those, have never been more critical than they are today.

Article four in the “Quality Engineering for CEOs” series brings you an exploration of the role of software quality in organizational confidence.

Software systems are becoming more complex and interconnected every day, and as a result, effective testing is more important than ever.