Get Ahead of Compliance Risks
In just one year, the number of organizations reporting breaches in non-production has climbed to 60% — an 11% increase from last year. While 100% of enterprises surveyed confirmed they have data in non-production that’s subject to privacy regulations, 84% allow data compliance exceptions.
The risk is clear: sensitive data exposure is accelerating, and business data compliance can no longer be an afterthought.
And the stakes are only higher as enterprises race to adopt AI and analytics, but compliance gaps are leaving them vulnerable. So, how can businesses navigate the privacy risks around AI without opening the door to reputational damage?
Our 2025 State of Data Compliance & Security Report reveals the most critical insights into emerging trends, challenges, and priorities that large enterprises face in sensitive data management. Based on insights from 280 enterprise leaders globally, this data compliance solution guide will help you automate data privacy compliance processes and strengthen your security posture. Download now to:
- Find out how well other leaders are protecting sensitive data and ensuring PII data compliance and implementing sensitive data recovery protocols in non-production.
- Demystify the mass confusion around AI and data privacy with actionable data protection and compliance strategies, such as data compliance GDPR requirements, to chart your path forward.
- Choose the right data compliance solutions and technology investments to ensure data security compliance and effective data compliance management across your organization.
What’s Inside:
We partnered with a third-party research firm to survey 280 global enterprise leaders on sensitive data compliance challenges. They answered questions like:
- How has the volume of sensitive data increased in non-production?
- How concerned are you about the expanded exposure footprint in non-production environments at your organization?
- What trade-offs has your organization experienced when implementing sensitive data protection in non-production environments?
- Do you believe sensitive data (PII/PHI) should be allowed in AI model training, fine-tuning, and retrieval augmented generation (RAG) application development/testing?
This report explores the results of these and more — offering insights you can’t find anywhere else on the current state of data protection compliance audit practices and data security strategies.