OneTrust Report Finds AI Adoption Outpacing Governance at Many Organizations

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Summary

OneTrust’s 2026 report says AI adoption is widespread while governance remains fragmented. Respondents cited security, privacy, data-quality and oversight challenges, with many reporting delayed initiatives and plans to increase governance technology budgets.

Key points

  • Seventy-four percent of respondents reported departmental or scaled AI adoption, but only 17% said governance was embedded by design.
  • Eighty-seven percent said their organizations encourage AI agents; 40% do so while governance and controls are still developing.
  • Nearly half reported at least one incident in the past year involving AI systems or agents taking unapproved actions.
  • Thirty-three percent said employees used unapproved AI tools because approved options or processes were not available quickly enough.
  • Data quality, access, privacy and security were among the most common causes of AI initiative delays.
  • Only 5% said coordination and accountability were defined across the AI lifecycle; 98% planned to increase budgets for AI governance technologies.

Article Details

Publisher
OneTrust
Report Period
2026
Scope
Survey findings on organizational AI adoption, governance maturity, agent use, incidents, and governance budgets.
Key Statistics
  • 74% of respondents reported departmental or scaled AI adoption.
  • 17% said AI governance was embedded by design.
  • 96% said at least one AI initiative was slowed, paused, or complicated by governance, risk, or review requirements.
  • 87% said their organizations encourage AI agent use; 47% reported defined governance and controls, while 40% said these were still developing.
  • 98% planned to increase budgets for technologies used to govern AI in the next financial year.
Recommendations
  • Identify, assess, monitor, and document third-party AI throughout its use.
  • Use employee training and AI literacy, formal AI review and approval processes, and expanded monitoring or governance controls to address AI-related incidents.

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