The report Operationalizing AI Security in Business: A Persona-centric Framework for the UAE, prepared by MarketsandMarkets in partnership with CPX, provides a structured approach to securing AI systems as adoption accelerates across the region. Released in July 2026, the document emphasizes that AI has arrived faster than the governance and security practices needed to manage it effectively.
What is a Persona-centric Framework for AI Security for those who don’t know? It is an approach that tailors security strategies, controls, and responsibilities to the specific roles and perspectives of different stakeholders involved with AI — such as end users (AI Consumers), organizations implementing AI (AI Deployers), and those building the models (Model Developers).
The report outlines AI adoption trends in the UAE, the current risk landscape, and how security must serve as a core pillar of responsible AI initiatives. It breaks down challenges and best practices through the lens of three key personas, offering a practical roadmap for organizations to operationalize AI security while balancing innovation with risk management. The analysis covers governance, technical controls, compliance considerations, and future outlook, with targeted recommendations for the UAE market.
This research comes at a critical time as businesses in the UAE and broader region increase their investment in AI technologies. The persona-centric framework aims to help organizations move beyond generic security advice toward role-specific, actionable strategies that address real-world implementation challenges.
Key Findings
AI adoption is accelerating rapidly in the UAE and broader region, but security and governance practices are still catching up, creating significant operational and compliance risks for organizations deploying AI systems.
A persona-centric approach to AI security is essential, as different stakeholders — AI Consumers, AI Deployers, and Model Developers — face unique challenges and require tailored controls and responsibilities.
Many organizations struggle with limited visibility into AI usage, data flows, and decision-making processes, making it difficult to assess and mitigate risks effectively.
Security must be treated as a core pillar of AI initiatives rather than an afterthought, with clear emphasis on technical controls, governance frameworks, and continuous monitoring throughout the AI lifecycle.
The report highlights that effective AI security requires collaboration across multiple teams, including security, compliance, legal, and business units, rather than siloed efforts.
Regulatory expectations and industry standards in the UAE are evolving quickly, pushing organizations to implement more mature AI governance and risk management practices.
Persona-specific challenges include consumer trust and data privacy for end users, deployment and integration risks for deployers, and model integrity and supply chain security for developers.
Many companies are still in early stages of operationalizing AI security, with gaps in policy enforcement, auditability, and incident response capabilities for AI systems.
The research emphasizes the need for practical, implementable frameworks that balance innovation speed with appropriate security and compliance controls.
Future success in AI will depend on organizations that can operationalize security at scale while maintaining business agility and user trust.
What the Report Covers
The report Operationalizing AI Security in Business: A Persona-centric Framework for the UAE, prepared by MarketsandMarkets in partnership with CPX, provides a comprehensive analysis of how organizations in the UAE and broader region can effectively secure AI systems as adoption accelerates. The document is structured to offer both strategic insights and practical guidance for implementing AI security at scale.
Key sections include:
Executive Summary — High-level overview of the main findings, challenges, and recommendations for operationalizing AI security.
Introduction — Sets the context for AI adoption trends and the growing importance of security as a core business consideration.
AI Adoption Trends — Examines the current state of AI implementation across industries in the UAE, highlighting growth drivers and emerging use cases.
AI Risk Landscape — Details the specific risks organizations face when deploying AI, including technical, operational, compliance, and reputational challenges.
Security As The Core Pillar — The central section of the report, which introduces a persona-centric framework focusing on three key roles:
AI Consumers — End users and business teams interacting with AI systems.
AI Deployers — Organizations implementing and integrating AI solutions.
Model Developers — Teams building, fine-tuning, or deploying underlying AI models.
Future Outlook — Explores emerging trends, regulatory developments, and the evolving AI security landscape in the UAE.
Recommendations & Roadmap — Practical guidance and step-by-step actions organizations can take to strengthen their AI security posture.
Methodology, References, and Glossary — Supporting information on research approach and key definitions.
The report combines market research, industry analysis, and persona-specific insights to help organizations move from ad-hoc AI security measures to structured, operational frameworks. It emphasizes the importance of treating security as an enabler of responsible AI innovation rather than a barrier, with particular relevance for businesses operating in the UAE’s dynamic regulatory and technological environment.
Our Take
AI Governance Take
The MarketsandMarkets and CPX report on Operationalizing AI Security in Business delivers a timely and practical message for organizations in the UAE and beyond: AI security must be operationalized through a persona-centric lens if it is to keep pace with rapid adoption. The research clearly shows that treating AI governance as a one-size-fits-all exercise is no longer sufficient. Different stakeholders — consumers, deployers, and model developers — face distinct risks and responsibilities that require tailored controls, policies, and accountability mechanisms.
A key insight from the report is the need to move beyond generic security checklists toward structured, role-specific frameworks that embed security into the entire AI lifecycle. This includes clear visibility, risk assessment, auditability, and continuous monitoring tailored to each persona. The emphasis on governance as a core pillar rather than an afterthought reflects the maturing understanding that responsible AI innovation requires strong operational controls from the outset.
For AI governance leaders in the UAE and similar markets, the report serves as both a benchmark and a roadmap. It highlights that organizations making the most progress are those that align security strategies with business objectives, foster cross-functional collaboration, and invest in tools and processes that scale with AI complexity. The persona-centric approach offers a useful model for breaking down complex governance challenges into actionable components for different parts of the organization.
Ultimately, the report reinforces that the future of AI success will belong to organizations that can operationalize security and governance as effectively as they pursue innovation. In a region like the UAE, where AI ambitions are high and regulatory expectations are evolving, adopting a thoughtful, persona-driven framework will be critical for building trustworthy, compliant, and resilient AI systems. Companies that treat AI governance as a strategic capability — rather than a compliance burden — will be best positioned to realize the full benefits of AI while managing associated risks.
