AI Integration Challenges Business Security Controls
New research finds most organizations struggle to maintain proper governance as AI agents gain authority in critical systems.
Updated on Oct. 27, 2026 in Artificial Intelligence
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A Delinea report reveals that 84% of organizations using AI in business applications faced issues over the past year. While most leaders express confidence in their security, only 11% report that their governance protocols are keeping pace with AI adoption.
Why it matters
The rapid deployment of AI agents that perform actions has outpaced existing oversight, leaving many critical financial systems exposed to unmanaged risks. Many organizations now operate applications outside of established governance scopes, creating long-term security vulnerabilities.
Only 22% of organizations utilize a single system of record with a named owner for applications, while 46% perform continuous monitoring of cumulative access risk. Furthermore, 35% of surveyed entities have already deployed AI agents that possess the ability to perform actions.
The players
Delinea
This is a cybersecurity software company that specializes in privileged access management and identity security solutions.
The details
The report highlights that 60% of companies moved critical applications outside of traditional Sarbanes-Oxley Act oversight over the last two years. Persistent security gaps remain, with 26% of respondents reporting recurring access findings year over year and 25% managing issues that have stayed open for at least three years.
Timeline
October 27, 2026: The research report is published.
October 2025 - October 2026: The period during which organizations reported experiencing AI-related issues.
2024 - 2026: The timeframe in which organizations reported critical applications operating outside governance scope.
The Tech Race
The findings suggest a divergence from the regulatory standards established by the Sarbanes-Oxley Act as companies migrate financial processes to autonomous AI systems. This shift marks a departure from centralized audit models toward decentralized agent-based architectures.
Finance leaders and technology teams face increased pressure to implement continuous monitoring tools to protect against unmanaged access risks. Without better alignment between AI deployment and security controls, businesses may face heightened vulnerability to audit failures and data exposure.
The takeaway
Organizations must prioritize integrating automated security checks into the early stages of AI deployment to prevent long-term governance gaps. Relying on outdated manual oversight for modern AI agents leaves sensitive financial systems dangerously exposed to external risks.
Further reading
For more information on systemic oversight, visit our Artificial Intelligence section.
More information
Read the full application access governance research report for detailed methodology.
Source note: This article includes information reported by The Manila times.
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