Security & Licensing · AI Security
Enterprise AI Governance & Data Protection Services in the UAE
Build the policies, data controls, identity boundaries and licensing foundation needed to introduce enterprise AI without exposing information through unmanaged tools or inherited oversharing.
Dubaitech connects cybersecurity, Microsoft 365 administration and software licensing decisions in one practical AI-adoption roadmap for UAE organizations.
Govern before scaling
Connect AI adoption with the data and permissions it can reach
AI governance in the UAE is not only a policy exercise. Enterprise assistants and agents operate through identities, repositories, sharing settings, connectors, licenses and vendor terms. Weak ownership or overshared content can turn an otherwise useful deployment into a data-protection and operational risk.
Dubaitech assesses how employees use AI, what information is accessible, which controls already exist and where licensing or security capabilities can support a safer rollout. The result is a prioritized implementation plan—not a promise of legal compliance or certification.
When this service is useful
Organizations preparing to introduce Microsoft 365 Copilot or enterprise AI assistants
Businesses concerned about staff using public or unapproved generative AI tools
Microsoft 365 tenants with historic SharePoint, Teams or OneDrive oversharing
Security, IT, legal, HR and procurement teams that need clear AI ownership and guardrails
Business outcomes
Security improvements that support responsible adoption
The outcome is a practical control and operating roadmap aligned to the systems, data and decision rights in scope.
Make AI use visible
Establish an inventory of approved, experimental and unmanaged AI tools, owners, data flows and business purposes.
Reduce avoidable data exposure
Prioritize oversharing, identity, classification and DLP improvements before expanding access to enterprise AI capabilities.
Align security and licensing
Map required controls and administrative capabilities to the organization’s actual Microsoft and software licensing position.
Give employees usable rules
Translate technical and policy decisions into clear acceptable-use guidance, approval routes and practical awareness material.
Service capabilities
A complete review across people, process and technology
The final scope is confirmed after discovery because available telemetry, integrations, access, licensing and business authority differ by organization.
Microsoft 365 Copilot readiness
Review tenant prerequisites, administrative roles, data access, sharing practices and relevant security capabilities before wider rollout.
Shadow AI discovery
Identify known and observable use of unapproved AI applications, browser tools, agents and integrations, subject to available telemetry and licensing.
AI acceptable-use policies
Define approved use cases, prohibited data, human-review expectations, procurement routes, incident reporting and accountability.
Data classification and ownership
Map important data categories, repositories, owners and handling expectations so AI controls reflect business sensitivity.
DLP and oversharing remediation
Assess broad links, legacy permissions, ownerless sites and preventable disclosure paths, then prioritize proportionate improvements.
Identity and access reviews
Review privileged roles, group membership, guest access, conditional access and least-privilege requirements for users and AI agents.
AI vendor and supply-chain risk
Examine product purpose, data handling, subprocessors, integration permissions, administrative controls and exit considerations.
Prompt and retention review
Document what prompts, uploaded files, outputs and diagnostic data may be stored, processed or reviewed under the selected service terms.
Employee awareness
Teach employees how to use approved AI tools, recognize sensitive information, verify outputs and report mistakes or suspicious behavior.
Secure adoption roadmap
Sequence policy, data, identity, licensing, pilot and measurement work around business priorities and available resources.
Suitable use cases
Where the assessment creates practical value
Start with the real business workflow and affected information, then select controls and testing that match the risk.
Microsoft 365 Copilot deployment
Prepare permissions, sharing, data controls, administrative ownership and licenses before a controlled pilot or broader enablement.
Public generative AI use
Set clear boundaries for prompts, uploads, customer information, confidential material and approved alternatives.
Departmental AI assistants
Evaluate use cases for HR, finance, legal, sales or operations with data-owner input and role-appropriate access.
AI vendor procurement
Add security, privacy, data retention, integration permissions and operational exit questions to vendor selection.
Delivery process
A controlled path from discovery to improvement
Each engagement sets scope, access, responsibilities, limitations and safe operating boundaries before technical work begins.
STEP 1
Stakeholder and use-case discovery
Identify business goals, current AI use, information owners, risk concerns and decision-making responsibilities.
STEP 2
AI, data and license inventory
Map approved and observed tools, Microsoft 365 configuration, data repositories, integrations and relevant licenses.
STEP 3
Data and identity assessment
Review classification, sharing, permissions, privileged access, DLP coverage and priority oversharing risks.
STEP 4
Policy and control design
Define acceptable use, approval, vendor review, human oversight, retention and incident-handling expectations.
STEP 5
Pilot, awareness and roadmap
Support a controlled adoption plan with employee guidance, measurable review points and prioritized remediation.
UAE privacy and governance
A security assessment supports decisions; it does not provide legal certification
The UAE Personal Data Protection Law establishes requirements concerning electronic processing, security, confidentiality and cross-border transfer of personal data. Sector, free-zone, employment, health or financial requirements may also apply to a particular AI use case.
Dubaitech can help identify technical and operational controls, document data flows and support remediation. The organization remains responsible for determining legal obligations, obtaining specialist advice and approving the final use of AI and personal data.
Controls considered in the engagement
This content is general technical information, not legal advice or a promise of compliance or certification. Customers remain responsible for obtaining advice and approvals appropriate to their organization, sector and intended use.
AI security service cluster
Connect this service with the rest of your AI security program
Each page addresses a distinct layer: physical visibility, security operations, enterprise governance and application-level AI testing.
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Questions answered
Frequently asked questions
Start with an assessment
Request an AI Security and Governance Assessment
Tell us which AI tools your teams use or plan to introduce. Dubaitech will review the surrounding data, identity, policy and licensing foundation and recommend a proportionate adoption roadmap.