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Your employees are already using AI tools you never approved

Help Net Securityby Anamarija Pogorelec ()3 min read1 · 1 read
AI summary · glm-5.3Summaries by Vani AI

OneTrust report: 74% of organizations have scaled AI adoption, but only 17% embed governance by design and agent use outpaces oversight.

OneTrust's 2026 AI-Ready Governance Report finds 74% of respondents report departmental or scaled AI adoption, yet only 17% report governance embedded by design and just 5% have coordination and accountability defined across the AI lifecycle. Nearly half experienced at least one incident in the past year where AI systems or agents took unapproved actions, with data loss, corruption, and misclassification cited as the most likely and least prepared-for risks. 33% say employees used unapproved AI tools because approved options were not available quickly enough, and 98% plan to increase AI governance technology budgets next financial year.

Key facts
  • 74% of organizations report departmental or scaled AI adoption; only 1% report none
  • Nearly half experienced AI systems or agents taking unapproved actions in past year
  • Only 17% report highest governance maturity with governance embedded by design
  • 33% of employees used unapproved AI tools due to slow access to approved options
  • 98% plan to increase budgets for AI governance technologies next year
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From the original article

3 min read at helpnetsecurity.com

Seventy-four percent of respondents report departmental or scaled AI adoption at their organizations, including within individual teams or departments, across business functions, and as part of processes and operations, according to the latest OneTrust 2026 AI-Ready Governance Report. The remaining respondents are planning, evaluating, or experimenting with AI, while 1% report no AI use.

Help Net Security

By Anamarija Pogorelec · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.