K2view Survey Reveals 96% of Enterprise Development and Test Environments Are Not Fully Compliant with Data Privacy Requirements

Palo Alto, CA, May 09, 2026 --(PR.com)-- K2view, a provider of data masking, test data management, and synthetic data generation solutions, today released the results of its 2026 State of Enterprise Data Compliance survey, examining where privacy compliance breaks down once data moves beyond production systems into development, testing, analytics, and AI environments, where enterprise data is most frequently copied, shared, and modified.

The survey found that 76% of organizations experienced a sensitive-data incident in non-production environments over the past three years, while only 4% say their development and test environments are fully compliant with privacy requirements.
The findings reveal a significant gap between perceived compliance in production systems and actual protections applied once data is replicated into lower environments.

“When only 4% say development and testing are fully compliant and just 2% say the same for AI environments, organizations are exposed to significant risks of data breaches, regulatory fines, and brand damage,” said Ronen Schwartz, CEO of K2view. “Enterprises need stronger technical controls to discover sensitive data, minimize data replication, and protect data before it reaches development pipelines and AI workflows.”

Key findings include:
Compliance breaks down outside production
While 88% report full compliance in production systems, only 4% consider development and test environments fully compliant, and just 2% say the same for AI and GenAI environments.

Non-production is now the primary incident zone
Over the past three years, 76% of organizations experienced a sensitive-data-related incident in non-production environments, including 71% internal compliance failures, 12% ransomware or other security incidents, and 7% confirmed data breaches.

Sensitive data discovery confidence drops sharply in modern platforms
While 88% report high confidence locating sensitive data in SQL databases, only 13% say the same for NoSQL databases, 9% for data lakes, and 2% for flat files.

Copy sprawl multiplies exposure
Organizations report an average of 29 full production database copies across non-production and analytics environments, with 44% maintaining 26 or more copies.

GenAI adoption is outpacing enforcement
Ninety-eight percent report using GenAI with enterprise data, but only 13% have implemented technical controls to prevent sensitive data from entering large language models.

HR and mainframe data are widely replicated but inconsistently protected
Eighty-seven percent replicate HR and HCM data into non-production environments, yet only 27% always protect it. Similarly, 88% replicate mainframe or midrange data, but only 13% consistently protect it after replication.

Media Contact
Amitai Richman
Director of Product Marketing
amitai.richman@k2view.com

About K2view
K2view delivers solutions for data masking, synthetic data generation, and test data management that help enterprises control and protect sensitive data across environments. Using an entity-based approach to data management, K2view enables organizations to deliver compliant, high-quality data to development, analytics, and AI initiatives.