@AWSstartups
Let's talk privacy compliance. Manual privacy compliance can't keep up with the pace of modern software development, and the risks are real. AWS Partner @PrivadoHQ built an automated system using fine-tuned Meta Llama 3.1 models that identifies data-processing pathways directly from source code to generate audit-ready records. The results: 90% detection accuracy, less than 5% cross-language variance, and privacy teams shifting 90% of their effort from manual data collection to active risk mitigation.