Data protection, residency, human review, and security testing planned alongside the AI system, so it can be approved and deployed in a regulated UAE organization.
Plan AI governance with us
Tell us the use case and the data involved. We will map the constraints and what they mean for the design.
AI governance is the set of decisions that determine whether an AI system is allowed to run: which data it may use, who can see its outputs, where the data lives, when a person must review a result, and how the system is tested for misuse. For UAE organizations, those decisions depend on which data protection regime applies to the data involved.
Profitech treats governance as an engineering input rather than a review at the end. Each use case is mapped to the data it touches, the applicable regime is confirmed with your legal counsel, and the resulting constraints shape the architecture, the model and vendor choice, and the rollout plan. This is engineering and governance design, not legal advice.
Each use case is mapped to the personal and sensitive data it touches, and to the regime that applies: the federal PDPL, the DIFC or ADGM frameworks, or separate sector and government rules.
Where data has to stay in the country, systems are designed for in-country cloud regions or your own infrastructure, with access control carried over from your existing platforms.
Checkpoints where a person reviews or approves AI output, and a usage policy that tells staff what AI may and may not be used for.
Red teaming of the systems we build for prompt injection, data leakage through context, and over-permissioned agents, with monitoring after launch.
Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (PDPL) is the general federal law for personal data, but it excludes government data and entities, security and judicial data, health and banking data covered by their own legislation, and free zones with their own data protection law. Each AI use case is mapped to the data it touches, the applicable regime is confirmed with your legal counsel, and access, retention, and consent handling are designed around it.
Organizations in the financial free zones operate under their own frameworks — the DIFC Data Protection Law No. 5 of 2020 and the ADGM Data Protection Regulations 2021. Which regime applies is confirmed per entity during the assessment, before any architecture is fixed.
Where data has to stay in the country, systems are designed for in-country cloud regions or your own infrastructure, and model and vendor choices are made inside that constraint rather than checked against it afterwards.
Government, healthcare, and banking workloads are often governed by their own legislation and regulators rather than the PDPL. These are identified with your counsel and captured as constraints in the plan, so they shape the design instead of surfacing at go-live.
Profitech designs AI systems to meet these requirements alongside your legal and compliance teams. This is engineering and governance design, not legal advice.
Any AI system that processes personal data is subject to whichever data protection regime covers that data. Federal Decree-Law No. 45 of 2021 (PDPL) is the general federal law, but it excludes government data and entities, security and judicial data, health and banking data covered by their own legislation, and free zones with their own law. The applicable regime is confirmed with your legal counsel for each use case.
Entities in the financial free zones operate under their own frameworks: the DIFC Data Protection Law No. 5 of 2020 and the ADGM Data Protection Regulations 2021. Which regime applies is confirmed per entity during the assessment, before any architecture is fixed.
Yes, where the use case requires it. Systems can be designed for in-country cloud regions or your own infrastructure, and model and vendor choices are made inside that constraint. Residency is decided during planning, alongside data classification and access control.
No. Profitech designs AI systems to meet your requirements alongside your legal and compliance teams. The legal interpretation of which regime applies, and what it requires, stays with your counsel.
At the start. Governance constraints change which data a system can use, where it can run, and which models are acceptable, so they are captured during assessment and planning rather than at a security review just before launch.
Plan AI governance with us
Tell us the use case and the data involved. We will map the constraints and what they mean for the design.
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