Introduction: As artificial intelligence models become deeply integrated into automated pipelines and enterprise decision-making, verifying model alignment alongside runtime environment security has become critical. SafeBox AI addresses this challenge by combining policy-enforcement evaluation with rigorous sandbox infrastructure testing, ensuring that both model behaviors and host environments satisfy strict security guarantees. By shifting from assertion-based testing to continuous, evidence-driven verification, developers gain actionable insights into actual isolation mechanics and compliance boundaries.