Anthropic has developed a flexible process for testing election-related risks using in-depth expert testing ("Policy Vulnerability Testing") and large-scale automated evaluations. This approach helps identify potential risks and informs risk mitigations, which are then implemented to address identified issues. The testing process includes three key stages: planning, testing, and reviewing results. Policy Vulnerability Testing (PVT) is an iterative, ongoing process that collaborates with external experts to test models in depth, while automated evaluations provide scalability, comprehensiveness, and consistency. The findings from PVT and automated evaluations inform risk mitigations, which include updates to the model's system prompt, fine-tuning data, policies, auditing platform use, training automated policy enforcement tooling, updating automated policy enforcement tooling, detecting and redirecting elections-related queries, and measuring the efficacy of interventions. By adopting a multi-faceted approach to system safety, Anthropic aims to develop this technology responsibly and in line with its policies.