Delphix analyzed data security compliance in 2024. The report also reveals that the challenge of protecting sensitive data will only get more complex with the rise of artificial intelligence (AI).
Eighty-five percent of enterprises report concerns about regulatory non-compliance in AI environments. Even more troubling, 68% of organizations surveyed perceive a lack of solutions to tackle data privacy in AI environments.
Overall, 91% of organizations are concerned about the expanded exposure footprint across all lower environments (including software development, testing, and data analytics).
Yet 86% of organizations allow data compliance exceptions in non-production. As a result, 54% of organizations have already experienced a data breach or theft involving sensitive data in non-production environments.
To mitigate these concerns, organizations are turning to tools and approaches like static data masking, cited as a current solution by 66% of organizations surveyed.
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