08.1
AI governance framework
Policies, roles, risk tiers and approval gates for AI systems.
- AI policy
- Risk-tiering model
- Approval workflow
AI Governance, Risk and Security
Controls that let you deploy AI with confidence, and prove it.
AI introduces new risks: wrong answers delivered confidently, data leakage through prompts and retrieval, bias, and agents that act beyond their mandate. Regulators in the Gulf and beyond now expect organisations to manage these risks explicitly.
We turn principles into operating controls: inventories, risk tiers, testing, monitoring and evidence, designed to fit existing risk and security processes rather than sit beside them.
What is included
Service offerings
08.2
AI risk and impact assessment
Assess use cases for accuracy, bias, privacy, security and legal risk.
- Assessment templates
- Completed assessments
- Mitigation plans
08.3
AI security
Threat modelling and controls against prompt injection, data leakage and misuse.
- Threat model
- Security controls
- Red-team findings
08.4
Evaluation and monitoring
Test and monitor AI systems before and after launch.
- Evaluation suites
- Monitoring dashboards
- Incident process
08.5
Regulatory alignment
Map obligations in KSA, the UAE and other markets to controls and evidence.
- Obligation register
- Control mapping
- Evidence pack
When to call us
Signs you need this
- AI pilots are blocked by risk, legal or security review.
- No inventory of the AI systems in use.
- Customers or regulators ask how AI decisions are controlled.
- Preparing for ISO/IEC 42001 or a regulatory review.
Approach
How we work
01Inventory
Find and classify the AI systems and use cases in the organisation.
02Assess
Rate risk and define proportionate controls per tier.
03Control
Build controls into delivery and platforms, not just policy.
04Assure
Monitor, test and produce evidence continuously.
Standards and frameworks
Aligned with recognised practice
- NIST AI Risk Management Framework
- ISO/IEC 42001
- SDAIA AI Ethics Principles (KSA)
- UAE Charter for the Development and Use of AI
- OWASP Top 10 for LLM Applications
- EU AI Act (for organisations serving the EU)
Solutions
Where this service is applied
Applied AI
Enterprise AI Assistants
Secure assistants that know your business and act within your rules.
View solution Applied AIKnowledge and Retrieval Systems
Make the organisation's knowledge findable, citable and usable by AI.
View solution Applied AIIntelligent Workflow Automation
Automate the work around decisions, and keep people in charge of the decisions.
View solution Data foundationsData Quality and Governance Systems
Governance that runs in the systems, not in the slide deck.
View solution Decision intelligencePredictive Analytics
Forecasts and risk scores that are trusted enough to act on.
View solutionTechnology
Platforms we work with
Vendor-neutral: examples of platforms commonly used in this service. Names identify technologies only and do not imply a partnership.
- Microsoft Purview
- OneTrust
- BigID
- Microsoft Entra ID
- Okta
- Wiz
- CrowdStrike
- Palo Alto Networks
Insights
Further reading
AI Governance in Saudi Arabia and UAE
Neither Saudi Arabia nor the UAE governs AI through a single AI act. The binding duties sit in data protection law, data classification, free-zone regulation and government programs, and many of them already apply to systems in production today.
Read →Responsible AI as Operating Controls
Most enterprises already have AI principles. Very few can show an auditor, a regulator or a tribunal the control that made a principle true for a specific system on a specific day. That gap, not the principles, is where responsible AI programs fail.
Read →Securing Enterprise AI Data
Most enterprise AI data exposure is not a model memorizing secrets. It is ordinary access control failing in new places: data sent out under the wrong terms, retrieval that ignores permissions, and agents that take instructions from what they read.
Read →Data Lineage for Trust and AI
Lineage drawn by hand is out of date by the next release. Lineage captured from the systems that move data becomes the evidence layer that supervisors, auditors and AI governance all depend on.
Read →Talk to us about AI Governance, Risk and Security
Engage this service on its own or as part of a solution. We will agree scope, outcomes and the right team with you.
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Data and AI Operations
Keep platforms, pipelines and models healthy, cost-effective and improving after go-live.