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INDUSTRIES · ARTIFICIAL INTELLIGENCE IN REGULATED SECTORS
No UAE authority issues an AI licence. What exists is stricter and easier to miss: the regulator of the sector you deploy into holds you to the same standards of governance, explainability and accountability as any other part of your business — and data-protection law governs everything the model touches. Finance, healthcare, insurance, virtual assets, gaming, government. Find your sector? Start here.
Confidential & non-binding · Same-day response in UAE hours
0
Artificial-intelligence licences in the UAE
2
Layers that always apply
6
Sector regulators we work across
2031
National AI Strategy horizon
—— THE SHORT ANSWER
Nobody supervises "AI". Every UAE regulator that already governs your sector — finance, health, gaming, government — applies its existing governance, explainability and accountability rules the moment a model touches a decision it regulates. Separately, data-protection law governs the data the model processes, wherever it goes. Two layers, always, regardless of sector.
AI-SPECIFIC LICENCE
None
Obligations sit inside your existing licence
ALWAYS APPLIES
Sector regulator
Governance, explainability, accountability
ALSO APPLIES
Data protection law
Wherever the model's data goes
SECTORS COVERED
6
Finance, health, insurance, VA, gaming, gov't
STRATEGY HORIZON
2031
UAE National AI Strategy
FIRST STEP
Find your sector
Then the framework and service follow
YOUR SECTOR
The same model carries different obligations depending on the decision it influences and the regulator that supervises you. Find your sector — each routes to the authority that governs the deployment and the work that gets you cleared.
Credit decisioning, fraud and transaction monitoring, robo-advice, underwriting. Model risk, explainability and outsourcing rules apply directly.
CBUAE·CMA·DFSA·ADGM
See pathway →On-chain analytics, KYT scoring, market surveillance and automated risk engines inside a licensed virtual-asset business.
VARA·ADGM·DFSA
See pathway →Diagnostic support, triage, imaging and clinical documentation. Health data is tightly governed, with localisation rules and ADHICS cyber controls.
MoHAP·DoH·DHA
Talk to us →Pricing, underwriting and claims automation — where fairness, appeal rights and the logic behind a declined claim are the exposure.
CBUAE·CMA
Talk to us →Player-harm detection, responsible-gaming monitoring and fraud models inside a GCGRA-licensed operation, on certified systems.
GCGRA
See the industry →Citizen-facing services and decision support, where procurement standards, data residency and national cyber policy set the bar.
Federal & emirate frameworks
Talk to us →Mortgage decisioning — personal-data and fairness obligations, plus registry alignment where the underlying asset is UAE property.
Data protection·DLD
Talk to us →Contract analysis, screening and candidate assessment. Automated decisions about people carry the sharpest individual rights.
Data protection·DIFC·ADGM
Talk to us →—— THE UAE LANDSCAPE
The UAE has a national AI strategy, a dedicated ministerial portfolio and public-sector adoption targets that most markets do not. That posture is genuinely enabling: there is no prohibition to argue with and no waiting for a horizontal AI act. The consequence, though, is that obligations arrive through existing law — financial-services rulebooks, health-data legislation, data-protection regimes and national cybersecurity policy — all of which already require accountable owners, documented controls and defensible outsourcing. Firms that treat AI as an IT initiative discover this at supervision. Firms that treat it as a regulated capability do not.
Enabling
National strategy, no horizontal AI law
Sectoral
Obligations arrive via the existing regulator
PDPL
Federal data-protection law, plus DIFC & ADGM
Cyber
National policy & ADHICS in healthcare
THE REGULATORS
Nobody supervises "AI". These are the authorities that supervise the things AI is used to do, and the regimes that follow the data wherever it goes.
CBUAE
FEDERAL · BANKING & PAYMENTS
Governance, risk-management and outsourcing expectations apply to models used in credit, payments and fraud decisions.
Explore CBUAE →DFSA
DIFC · FINANCIAL SERVICES
Model governance and outsourcing rules reach any model embedded in a DFSA-authorised financial activity.
Explore DFSA →ADGM (FSRA)
ABU DHABI · FREE ZONE
The same governance and outsourcing rulebooks reach any model embedded in an ADGM-licensed activity.
Explore ADGM →VARA
DUBAI · VIRTUAL ASSETS
Automated decisioning, market surveillance and monitoring sit within VARA's technology-governance rules where a model touches a licensed virtual-asset activity.
Explore VARA →CMA
ONSHORE · SECURITIES
Automated advice, algorithmic execution and surveillance sit within the onshore securities regime and its conduct rules.
Explore CMA →Health authorities
MoHAP · DoH · DHA
Clinical AI sits behind health-data lawful basis, localisation limits and ADHICS cyber controls around the service.
Talk to us →Data protection
PDPL · DIFC · ADGM
Lawful basis, transfer rules and the individual's rights over automated decision-making — the layer that applies whatever your sector.
Talk to us →THE OBLIGATIONS
Nothing here is an AI rule. Every line is an existing obligation that a model triggers the moment it influences a regulated decision — which is why AI compliance work is mostly mapping, not lobbying.
| What the model does | Who it answers to | What you must be able to show | Exposure |
|---|---|---|---|
| Decides credit or pricing | CBUAE, DFSA, ADGM, CMA | Model governance — owner, validation, monitoring, override path and board visibility | High |
| Screens transactions or clients | Sector regulator + AML supervisor | Tuning & testing evidence — thresholds, false-negative testing, human review of alerts | High |
| Informs a clinical decision | MoHAP, DoH, DHA | Health-data lawful basis, localisation, clinical oversight and ADHICS controls | High |
| Decides about a person automatically | Data protection regime | Transparency & rights — notice, human intervention, ability to contest the outcome | High |
| Relies on a third-party or foundation model | Sector regulator | Outsourcing & concentration — due diligence, contract terms, exit plan, audit right | Underestimated |
| Processes data across borders | PDPL, DIFC, ADGM | Transfer basis — adequacy, safeguards and a record of where inference happens | Common failure |
| Touches critical systems | National cyber policy, sector rules | Security assurance — access control, adversarial testing, incident reporting | High |
Indicative mapping, not legal advice on your specific deployment. Exposure reflects what regulators in the UAE are currently focusing on most closely; both follow the decision the model influences, not the technology used to build it. We assess your use cases individually in a perimeter analysis.
THE COMPLIANCE REALITY
The question in supervision is never "is the AI accurate". It is who owns this decision, what happens when the model is wrong, and can you show us. These are the artefacts we build and operate with you.
INVENTORY
Every model in the business, what it does, which regime it engages and how material it is — the register a supervisor will ask for first.
GOVERNANCE
A named accountable owner per model, board and committee reporting lines, validation, monitoring, and a documented human override path.
DATA LINEAGE
Where training and inference data came from, the basis for using it, retention, and where processing physically happens — including every cross-border hop.
INDIVIDUAL RIGHTS
Notice, explanation, human intervention and a working route for an individual to contest an outcome — with fairness and bias testing behind it.
SUPPLY CHAIN
Due diligence on model and API providers, contractual audit and exit rights, concentration risk, and a plan for the day the provider changes the model.
SECURITY
Access control over models and training data, prompt-injection and data-leakage testing, red-teaming and incident response — delivered in-house by ITSEC.
HOW WE HELP
Most advisors can write you a policy. Most security firms can test a system. Because KOLL and ITSEC sit under one roof, we can map the obligation, build the governance, test the model and run the controls — and be accountable for all four.
Every model in the business inventoried, classified by the decision it influences, mapped to sector and data-protection obligations, and ranked by exposure.
YOU GET: the register · a regime map per use case · a ranked gap list
Accountable owner per model, validation and monitoring standard, human-override paths, bias and fairness testing, and the board reporting pack behind them.
YOU GET: AI policy set · model-risk standard · committee & board pack
The AI and model-risk sections of a licence application, answers to supervisory questions, and the outsourcing file for third-party and foundation-model reliance.
YOU GET: application sections · outsourcing file · response drafting
Model and data-pipeline access control, prompt-injection and data-leakage testing, red-teaming, and ADHICS alignment where health data is involved.
YOU GET: test report · remediation plan · regulator-ready evidence
Where the AI use case is compliance itself — screening, KYT, monitoring — we supply the regulator-aligned engine and its evidence trail, API-driven with no build.
YOU GET: live screening & monitoring · defensible audit trail
Models drift and providers update them. We re-test, refresh the register and keep the governance current — so the file stays defensible between supervisions.
YOU GET: annual re-assessment · change-control process · refreshed evidence
The difference: competitors advise on artificial-intelligence risk. We advise on it, test it, and run it — one team, one accountable engagement. Deploying into financial services? Start with the FinTech licensing service →
GO DEEPER
The industry routes here; the service gets you compliant. Read on.
Most AI-in-finance activity is a FinTech licence in disguise — payments, lending or e-money underneath the model.
Where the AI model sits inside a licensed virtual-asset activity, VARA's rules govern the technology as much as the token.
Advisory, RegTech and cybersecurity integrated — a model file needs all three, filed as one.
FAQ
Not for the AI itself — no UAE authority issues an AI licence. But if you operate in a regulated sector, the model sits inside the licence you already hold or need, and your regulator applies its existing governance, outsourcing and accountability rules to it. Separately, data-protection law applies to everything the model processes. The practical answer is that AI rarely needs a new licence and almost always needs new controls.
Whichever regulator already licenses the activity — CBUAE for banking and payments, DFSA in the DIFC, ADGM's FSRA in Abu Dhabi, the CMA (formerly SCA) onshore, or VARA where the model touches a licensed virtual-asset activity.
Federal and emirate health authorities (MoHAP, DoH, DHA) govern clinical use, with health-data lawful basis, localisation rules and ADHICS cyber controls sitting alongside.
Yes, subject to data-protection law: the individual is entitled to notice, an explanation, human intervention and a working route to contest the outcome.
Yes, but reliance on a third party is itself regulated — outsourcing due diligence, contract terms, an exit plan and audit rights are expected by your sector regulator.
Often yes, but cross-border processing needs a documented transfer basis, safeguards and a record of where inference physically happens — a common gap in AI deployments.
Not a single horizontal statute. Instead, the UAE's national AI strategy sets direction to 2031 while individual sector regulators layer AI-specific governance expectations onto their existing frameworks.
With a perimeter analysis: what the model decides, which sector regulator applies, and what data-protection obligations follow. That scoping call is where every engagement begins.
BUILDING TRUST IN A REGULATED WORLD
Tell us what the model decides and who it decides about. In one confidential call we will tell you which regimes it engages, where your exposure sits, and the exact next steps.
