Taypsi's approach to statically enforcing privacy policies differs from other dynamic enforcement strategies in terms of scalability and performance. By transforming programs into semantically equivalent versions that statically enforce user-provided privacy policies, Taypsi eliminates the overhead associated with dynamic enforcement. This results in considerable performance improvements on a variety of MPC applications involving structured data and complex privacy policies. In contrast, dynamic enforcement strategies, such as those used in prior policy-agnostic MPC languages like Taype, rely on dynamically repairing potential leaks at runtime. While this approach decouples privacy concerns from program logic, it introduces significant overhead for applications dealing with structured data.