A large global bank needed to manage strict regulatory and contractual requirements around electronic trading, where sensitive client data must be protected and conflicts of interest avoided between trading activities. Traditional approaches made it difficult to enforce consistent controls across complex, hybrid environments and varied execution models. By implementing Immuta, the bank introduced dynamic, fine-grained access controls across platforms like AWS, Snowflake, and Starburst, enabling segmentation of data between principal and agency trading activities. This ensured traders could not access confidential client information while still allowing data scientists to refine models securely. As a result, the bank doubled data science productivity, reduced audit timelines from weeks to h

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