AI & LLM Security in the UAE

AI & LLM security in the UAE protects AI and Large Language Model applications from prompt injection, data leakage, model poisoning and excessive agency. The UAE was the first country in the world to appoint a Minister of State for Artificial Intelligence, published a National AI Strategy 2031 and an AI Charter, and is home to sovereign large language models (e.g. Falcon and Jais) developed locally. CyberSigma delivers LLM red-teaming and AI governance mapped to the UAE Data Office, DESC (Dubai) and ADGM/DIFC regulators and the global frameworks (OWASP LLM Top 10, NIST AI RMF, ISO/IEC 42001, MITRE ATLAS). We are CERT-In empanelled and PCI QSA (CEMEA) authorised.

Secure AI adoption for the UAE organisations

The UAE was the first country in the world to appoint a Minister of State for Artificial Intelligence, published a National AI Strategy 2031 and an AI Charter, and is home to sovereign large language models (e.g. Falcon and Jais) developed locally. That momentum means the UAE organisations must now show their AI is secure, governed and compliant — not just functional.

AI introduces failure modes traditional testing misses: chatbots manipulated into leaking data, AI agents coaxed into unauthorised actions, and poisoned models or datasets from public hubs. CyberSigma secures the full AI lifecycle — model, data, application, prompts, plugins and agents — and maps every finding to the UAE Data Office, DESC (Dubai) and ADGM/DIFC regulators and recognised global frameworks.

• LLM & GenAI application penetration testing and red-teaming (OWASP LLM Top 10).
• AI/ML model, pipeline and MLOps security assessment (MITRE ATLAS, Google SAIF).
• AI governance — ISO/IEC 42001 AI Management System and NIST AI RMF.
• Local alignment with the UAE Data Office, DESC (Dubai) and ADGM/DIFC regulators.
• Secure AI adoption — GenAI usage policy, shadow-AI and data-leak controls.

A national AI ambition that raises the security bar

With government, banking and healthcare adopting AI at national scale — and sovereign Arabic LLMs in production — UAE organisations are expected to show their AI is secure, explainable and compliant with the Federal Personal Data Protection Law (PDPL) and sector rules from the CBUAE, DESC and the ADGM/DIFC free zones.

What we test (OWASP Top 10 for LLMs + MITRE ATLAS)

We adversarially test your LLM and GenAI applications the way a real attacker targeting a the UAE organisation would:

• Prompt injection — direct and indirect (documents, web pages, tools).
• Sensitive information disclosure — PII, secrets and system-prompt leakage.
• Insecure output handling — XSS, SSRF and code execution from model output.
• Excessive agency — agents/plugins taking unauthorised or destructive actions.
• Training-data poisoning and model/data supply-chain risks.
• Jailbreaks, guardrail bypass, model extraction and denial-of-wallet.

AI governance & compliance in the UAE

We turn the applicable frameworks into a prioritised, evidenced programme:

• UAE Federal Personal Data Protection Law (PDPL) for AI and training data.
• Sector rules — CBUAE, DESC (Dubai), ADGM/DIFC — mapped to your AI.
• UAE AI Charter and National AI Strategy 2031 alignment.
• ISO/IEC 42001 + NIST AI RMF for certifiable AI governance.

How does AI security support the UAE National AI Strategy 2031?

As the UAE scales AI across government and industry, securing those systems is essential to maintain trust. We provide independent AI red-teaming and governance so initiatives meet PDPL and sector expectations.

Do DIFC and ADGM have their own data rules for AI?

Yes — the DIFC and ADGM operate their own data-protection regimes alongside the federal PDPL. We map your AI's data flows to whichever applies to your entity.

How does AI red-teaming differ from normal penetration testing?

Traditional pen testing targets code and infrastructure; AI red-teaming additionally targets the model's behaviour via prompts, poisoned context and connected tools to make it leak data or act without authorisation. Mature programmes use both — we provide each and can combine them.