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The Third Annual State of Data Compliance and Security Report: 2026 Edition
- A Letter from the Authors
- High Confidence, Persistent Risk: Why Data Protection Isn’t Adding Up
- Why Data Protection Breaks Down in Practice
- How Organizations Are Responding to Growing Data Risk
- Key Takeaways: What It Takes to Protect Data at Scale and AI Speed
- Respondents Snapshot: Segments, Industries, & Job Titles
- Key Terms to Know
Report > The Third Annual State of Data Compliance and Security Report: 2026 Edition
Key Takeaways: What It Takes to Protect Data at Scale and AI Speed
The data in this report points to a clear pattern. Organizations are not lacking awareness or intent. But many still rely on slow, manual approaches that don’t deliver the data quality required by downstream consumers. That makes it hard to protect sensitive data consistently across environments that are growing larger, more complex, and more critical to the business.
As data volumes increase and AI and agentic development adoption accelerates, the gap between policy and execution becomes harder to manage. This is where most organizations are struggling today.
- Policies are not the problem: Most organizations have mandates in place, but exceptions remain common, limiting consistent enforcement.
- Confidence does not equal protection: Leaders report high confidence, yet many still experience breaches, audit failures, and ongoing risk.
- Perceived barriers drive protection gaps: Data quality concerns and implementation effort prevent organizations from fully protecting sensitive data at scale.
- Data growth is increasing exposure: More data, more environments, and more users are expanding the risk surface faster than protections can keep up.
Solutions must scale with the business: Organizations are prioritizing scalability, speed, and usability alongside security to support real-world data demands.
Eliminate Risk and Achieve Agentic Speed with Perforce Delphix
As sensitive data expands across development, analytics, and AI environments, enterprise teams need a faster, more consistent way to protect it.
Perforce Delphix is an intelligent platform that unifies masked and synthetic data, automating the delivery of compliant, production-like data at agentic speed.
With AI-powered discovery, masking, and data generation, teams can reduce risk while maintaining data realism and usability. This enables faster development and testing by agents and developers, safer analytics, and scalable AI development — without introducing data bottlenecks.
Real Results at Enterprise Scale
Organizations using Delphix are already transforming how they manage and protect data. An IDC white paper found that Delphix helped organizations mask and protect 77.2% more data and data environments.* Enterprises across industries have achieved impressive results:
reduced application development timelines by 50%.
achieved GDPR compliance in just five months.
cut data provisioning from days to minutes.
How Does Delphix Data Masking Work?
Here’s a quick overview of how data masking works in Delphix:
Experience It For Yourself: Trusted, AI-Ready Data
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*IDC Business Value White Paper, sponsored by Delphix, by Perforce, The Business Value of Delphix, #US52560824, December 2024
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