Perforce Software
Reports
All Statistics
99% of enterprises have data masking mandates in place.
84% of enterprises allow compliance exceptions to data masking mandates.
74% of enterprises are concerned about audit failures.
60% of organizations have experienced data breaches or theft in software development, AI, and analytics environments, an 11% increase from the previous year.
84% of organizations surveyed are still allowing data compliance exceptions in non-production.
Due to the concerns and confusion around safety, 86% of organizations are planning to invest in AI data privacy solutions over the next 1–2 years.
86% of enterprises have AI data privacy mandates.
77% of enterprises are concerned about data breaches or theft in non-production environments.
62% of enterprises are concerned about training data breaches in AI workflows.
98% of enterprise leaders report confidence in their ability to protect sensitive data.
43% of enterprises have experienced audit failures.
68% of enterprises are concerned about data leaks in AI workflows.
80% of enterprises plan to invest in solutions that protect sensitive data used for AI/ML model training and fine-tuning in 2026–2027.
51% of leaders at enterprises cite data quality as the biggest challenge in protecting data in AI, ML, and analytics workflows.
98% of enterprises express confidence in protecting sensitive data in AI workflows.
34% of enterprise leaders report their organizations have experienced data breaches or theft.
91% of organizations believe that sensitive data should be allowed in AI training.
78% of organizations express high concern about the theft or breach of model training data.