The system builds on research showing AI can uncover serious software flaws across vast amounts of code, at a time when both ...

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

Anthropic launched Claude Code Security, an AI tool that found 500+ undetected bugs in production code. Cybersecurity stocks ...

Anthropic has published research on an AI-driven system called Co-RedTeam, built to discover and exploit software security flaws through coordinated large language model agents. The tool represents a ...

Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

The cost of not upping software quality assurance will be evident not only in the marketplace but on a company’s bottom line and in the lives of people.

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment ...

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as well as for bug fixing and identification. Now, one of its new studies ...