Privacy-preserving AI development with Azure & Gretel

Financial institutions face challenges in utilizing valuable data due to regulatory constraints and privacy concerns. A reference architecture addressing these issues includes a Data Governance Layer for maintaining control over sensitive data, a Privacy-Preserving Synthetic Data Generation Layer powered by Gretel's synthetic data platform, and an AI Development Layer built on Azure OpenAI Services. This approach enables secure data sharing across teams while ensuring model safety through privacy attack simulations and robust data quality reporting. By combining differential privacy capabilities with Azure OpenAI Services' language models, organizations can generate highly accurate synthetic datasets that protect sensitive financial information and prevent PII exposure.

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