Machine Learning for Regulatory Data Compliance in Automotive Software Sector
Supported a large automotive software company in achieving regulatory compliance following an international merger by implementing regional segregation of sensitive data. Utilized machine learning to identify datasets specifically related to the new regulatory requirements, enabling targeted segregation that was previously not technically feasible.
Client Confidentiality Notice: Specifics have been intentionally generalized to comply with NDA requirements. Following an international merger that introduced new jurisdictional compliance obligations, worked with cross-functional teams to develop a solution for regional segregation of sensitive data. Machine learning models were trained to identify data directly relevant to the specific regulatory concern, enabling precise targeting for segregation. Collaborated with infrastructure teams to implement compliant data residency controls, and access restriction. Partnered with legal, compliance, and engineering teams to validate that all high-risk datasets were correctly identified, segregated, and documented for potential regulatory review, ensuring full operational compliance while minimizing disruption to business processes.
← Back to home