Red Hat Survey: EMEA CIOs Confident on AI Governance but Lack Visibility

Confidence at the top, gaps underneath

According to Red Hat, AI in EMEA enterprises is no longer confined to sandboxes or pilots. Autonomous AI agents, embedded software-as-a-service features and automated workflows are running in production across business-critical environments. Christopher McBrayne, senior vice president and general manager for EMEA at Red Hat, wrote about the results in a blog post on October 27, 2026.

The survey was conducted by Censuswide among 1,400 CIOs in the UK, France, Italy, Germany, Spain, UAE, Sweden, Turkey, Switzerland, Poland, South Africa, the Netherlands, Belgium and Saudi Arabia, between 24.08.2026 and 01.09.2026.

On high-level governance, the respondents are optimistic: 86.7% say they are confident in their organization's ability to govern deployed AI agents securely, compliantly, and in line with corporate business rules. The picture changes when the questions turn to day-to-day mechanisms:

• Data traceability: 84.8% believe they know where AI-related data is processed, stored and shared, but only 39.6% express complete confidence in their total data visibility.
• Regulatory risk: 45.2% acknowledge minor blind spots in tracking data flows as AI becomes embedded in approved cloud platforms and enterprise software.

McBrayne argues that under frameworks such as GDPR and the EU AI Act, even minor gaps in data lineage expose organizations to regulatory, financial and reputational risks.

Fast patching, limited view of dependencies

The survey found that remediation speed is not the main weakness. 76% of respondents say they typically deploy critical security fixes within 24 hours of a patch becoming available.

Visibility into what needs patching is weaker. Only 32.9% of EMEA CIOs maintain a complete, continuously updated view of their open source software supply chain, including direct and nested dependencies. Another 43.0% can see primary components but lack clear insight into the open source libraries inside third-party applications.

Red Hat says rapid patching can create a false sense of security without Software Bill of Materials (SBOM) visibility. If a zero-day vulnerability appears in a deeply nested open source dependency, organizations with limited supply chain visibility remain exposed however fast their patching team works.

AI vendor risk checked once, not continuously

A similar pattern appears in how companies assess AI providers. According to the survey, most organizations run thorough risk assessments before onboarding a vendor, but monitoring falls away afterward. Only 34.4% set formal, measurable criteria to monitor AI provider risks on a continuous, live basis, and 19.7% do no continuous risk monitoring at all once a provider is in live operations.

McBrayne writes that models drift, data usage policies change and software dependencies evolve daily, so trust must be audited and verified throughout the application lifecycle.

Four pillars and what they mean for enterprises

Red Hat concludes that the problem is not a lack of governance ambition but a lack of operational visibility. It says governance must become an active, automated discipline built on four pillars:

• Complete lifecycle visibility: mapping data flows, classifying sensitive assets and maintaining real-time observability across public cloud, on-premises and edge environments.
• Software supply chain transparency: standardizing automated dependency mapping and SBOMs to track direct and nested open source components.
• Continuous verification: moving from one-off vendor reviews to real-time monitoring of AI provider risks and model behavior.
• Open hybrid foundations: adopting open source architectures with centralized management and consistent guardrails.

For IT leaders, the findings suggest that policy confidence alone is not enough. Red Hat, which sells open source enterprise software, frames the issue as one of tooling and process: tracing data movements and dependencies in real time. As AI adoption scales across EMEA, McBrayne writes, resilience will belong to organizations that pair high-level ambition with deep, verifiable operational control.