The report highlights how organizations are increasingly turning to synthetic data to support data compliance, security, and innovation. Based on survey findings, nearly two-thirds of organizations now use synthetic data for purposes such as software development, testing, analytics, and training while reducing exposure to sensitive information. Many enterprises adopt a portfolio approach, combining synthetic data with other techniques like masking to meet regulatory requirements more effectively. The report explains how synthetic data helps maintain business value, improve agility, and minimize compliance risk, making it a key component of modern data strategies focused on security, flexibility, and scalability.

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