Research often accepts simple correlations between latent representations and AI behavior. Deployment requires a higher bar for reliability in unseen, safety-critical scenarios. This gap forces a shift from theoretical discovery to rigorous verification. Practitioners must determine if a latent representation provides enough stability to govern real-world safety systems without failing under pressure.