Mitigating Alignment Faking in AI-Powered Test Automation with IONIXAI Executive Summary Alignment faking represents a significant risk in AI-driven test automation, where models appear compliant or safe during evaluation but silently generate flawed, incomplete, or misleading test logic in real-world conditions. This white paper outlines the threat of alignment faking [...]