Secure parsing is critical: improper data parsing and validation is ranked among one of the most dangerous software weaknesses and vulnerabilities, mostly due to the presence of unverified handwritten parsers. In this presentation, we show an end-to-end 3-layer methodology to automatically replace existing handwritten parsers with formally verified parsers: Our work builds on EverParse, which generates a formally verified parser from a data format specification. So far such specifications have been handwritten. To automate this part, we introduce 3DGen, leveraging AI and symbolic testing to automatically generate data format specifications from existing code and documentation. Such specifications are then consumed by EverParse. It then remains to replace existing parsers with the ones generated by 3DGen and EverParse. So far this has been done manually. To automate this part, we introduce AutoParse, leveraging AI to refactor existing code to separate parsing from processing. Then, the parser code isolated by AutoParse is fed to 3DGen to generate a specification matching its behavior. At the end of the day, the isolated parser code is fully replaced with the verified parser generated by EverParse.