Unstructured Data & AI Governance Survey 2026

Information quality deserves a place in strategic AI risk oversight

Organizations store vast amounts of unstructured data across file shares, SharePoint, Teams, OneDrive, email, and cloud services. As AI, Copilots, and intelligent assistants are increasingly connected to these environments, the quality, ownership, lifecycle management, and visibility of information become increasingly critical.

The Unstructured Data & AI Governance Survey 2026 by GDPR Tech maps how organizations manage these environments, what governance practices are in place, and where respondents see the biggest risks, challenges, and development needs.

The findings are based on an exploratory international expert survey of 86 professionals across Europe, North America, and the Asia-Pacific region.

Key Findings from the Report:

• Visibility Gaps: Only 18% of respondents report having good or accurate visibility of their unstructured data volumes.
• Leading Risks: 73% selected sensitive or personal data in uncontrolled locations as a significant risk.
• Quality Concerns: 53% selected outdated information as a significant risk, and 53% selected incorrect or low-quality information.
• Governance Maturity: 65% report that their unstructured data governance practices are either not established or still initial / ad hoc. Only 7% report implemented and monitored retention and deletion practices.

Enterprise AI brings the condition of underlying information into sharper focus. Download the full Executive Insight Report to explore the detailed analysis, open-text insights, and practical strategic implications for your organization.

The survey was conducted by GDPR Tech in collaboration with Tutkimusvoima. Survey findings are reported in anonymized form. For more information about our information governance, privacy, and AI governance services, please contact GDPR Tech.