A new method called Latent Personality Alignment (LPA) improves the robustness of large language models against harmful prompts by focusing on abstract personality traits rather than specific harmful behaviors. This approach requires significantly fewer training examples and shows better generalization to unseen attack types, potentially transforming defenses in AI development.