AI access governance is struggling to keep pace with deployment in critical business applications, a Delinea Fastpath survey published on October 27, 2026, found. Among organizations using AI tools or agents in those applications, 84% reported at least one AI-related issue in the preceding 12 months.

Key Takeaways

  • Reported issues included incorrect financial transactions and actions that could not be traced or explained.
  • The survey covered 1,000 senior finance and finance technology leaders in the US and UK, including 879 whose organizations use AI in critical business applications.
  • Only 11% of organizations using AI said their governance and security controls were keeping pace with deployment.

AI access governance gaps

The survey found that 35% of organizations had deployed AI agents that perform actions. Most organizations using AI did not have full, centrally tracked visibility into agents’ deployment, access, permissions, ownership and approval.

Respondents also reported AI-related segregation-of-duties conflicts and cases in which agents continued operating after the person who deployed them had left the organization. Such gaps can make it harder to establish who is responsible for an agent’s access and actions.

Audit confidence and unresolved findings

Across the survey, 95% of respondents were confident their access controls would withstand external audit scrutiny. Yet 26% reported access findings that recurred in consecutive years, and 25% reported findings that had remained open for at least three years.

Only 46% said they continuously monitored and managed cumulative access risk across applications. Just 22% said they had a single named owner for each application tracked in one system of record.

Over the preceding two years, 60% reported more critical applications operating outside access governance or Sarbanes-Oxley Act scope, even as most respondents also reported bringing more applications inside that scope.

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