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Delinea’s Report Finds a Gap Between Singapore’s AI Policies and Enforcement
Delinea’s 2026 report says nearly all surveyed Singapore IT leaders saw AI access sensitive data beyond its intended scope in the past year. The survey covered IT and security leaders and non IT employees at AI using organisations with 500 or more employees, across eight markets.
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Key takeaways
- Delinea’s 2026 report says nearly all surveyed Singapore IT leaders saw AI access sensitive data beyond its intended scope in the past year.
- The survey covered IT and security leaders and non IT employees at AI using organisations with 500 or more employees, across eight markets.
- Several additional Singapore figures in circulation—including employee approval bypass and human accountability measures—cannot be verified from the supplied source excerpts.
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openai.comCreate a landscape editorial hero image for this Studio Global article: What does Delinea’s 2026 Identity Security Report reveal about unauthorised AI access to sensitive data in Singapore, including the surveys’. Article summary: Delinea’s 2026 Identity Security Report: The AI Enforcement Gap points to a substantial gap between written AI-access rules and practical enforcement in Singapore, where 98.9% of surveyed IT leaders reportedly saw AI acc. Topic tags: general, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers, clic
Delinea’s 2026 Identity Security Report: The AI Enforcement Gap describes a pronounced difference between having rules for AI data access and detecting when AI tools or agents go beyond their intended scope. In Singapore, published coverage puts the share of IT leaders reporting such an incident in the past year at either 98.8% or 98.9%; the sources do not resolve the discrepancy. 2
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What the survey covered
Delinea says the report draws on two surveys: 2,254 IT and security leaders and 2,250 non-IT employees. Respondents worked at organisations with at least 500 employees that use AI. The report covered eight markets, although the available source extracts do not reveal the complete list. 1
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These are survey responses about reported incidents, not a published audit of every organisation’s AI systems. The figures should therefore be read as what respondents said they had observed, rather than as independently verified incident counts.
Singapore’s reported access and detection gap
Singapore’s reported incidence rate—98.9% in Singapore Business Review coverage and 98.8% in other coverage—was described as the second-highest among the eight surveyed markets. That ranking applies to the markets in the survey, not necessarily to every country worldwide. 2
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The same report coverage highlights a gap between written controls and practical detection. One account says 99.6% of Singapore organisations had a formal AI data-access policy, but only 14% of IT leaders could detect an out-of-scope access event in real time, compared with 19% globally. It also reports that 72% took a full day or longer to detect such a violation, the highest rate among the surveyed markets. 5
The global findings point to a similar enforcement challenge: Delinea reported that 87% of IT leaders said an AI tool or agent had accessed sensitive data beyond its intended scope in the past year. Separate coverage says 99.7% of leaders reported a formal AI data-access policy, while 76% of surveyed employees had bypassed formal AI approval processes. 1
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What the available evidence does not confirm
The supplied source excerpts do not substantiate several more specific Singapore figures: that 84% of employees bypassed approval at least once, that 51% did so always or regularly, or that three in four felt pressured to use AI with sensitive data despite uncertainty about permission. They also do not verify the reported figures for named-individual approval and tracing access events to a human authoriser.
Those details may appear in fuller report material, but they cannot be treated as confirmed from the sources available here. The headline finding is clearer: survey coverage consistently points to frequent out-of-scope AI access in Singapore, while the exact incidence percentage varies slightly across reports and local enforcement figures are less completely documented. 2
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What is the short answer to "Delinea’s Report Finds a Gap Between Singapore’s AI Policies and Enforcement"?
Delinea’s 2026 report says nearly all surveyed Singapore IT leaders saw AI access sensitive data beyond its intended scope in the past year.
What are the key points to validate first?
Delinea’s 2026 report says nearly all surveyed Singapore IT leaders saw AI access sensitive data beyond its intended scope in the past year. The survey covered IT and security leaders and non IT employees at AI using organisations with 500 or more employees, across eight markets.
What should I do next in practice?
Several additional Singapore figures in circulation—including employee approval bypass and human accountability measures—cannot be verified from the supplied source excerpts.