AI & LLM Security in Malaysia

AI & LLM security in Malaysia protects AI and Large Language Model applications from prompt injection, data leakage, model poisoning and excessive agency. Malaysia established a National AI Office (NAIO) in 2024 and published National Guidelines on AI Governance & Ethics (AIGE), alongside recent amendments strengthening the PDPA. CyberSigma delivers LLM red-teaming and AI governance mapped to the Personal Data Protection Department (JPDP) 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 Malaysia organisations

Malaysia established a National AI Office (NAIO) in 2024 and published National Guidelines on AI Governance & Ethics (AIGE), alongside recent amendments strengthening the PDPA. That momentum means Malaysia 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 Personal Data Protection Department (JPDP) 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 Personal Data Protection Department (JPDP).
• Secure AI adoption — GenAI usage policy, shadow-AI and data-leak controls.

The National AI Office and AIGE guidelines

With the NAIO coordinating national AI policy and the AIGE guidelines setting seven principles for responsible AI, Malaysian organisations — especially in Islamic finance, manufacturing and digital services — are expected to govern AI responsibly while meeting the recently strengthened PDPA.

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 Malaysia 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 Malaysia

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

• Malaysia PDPA (incl. recent amendments) for AI and training data.
• National Guidelines on AI Governance & Ethics (AIGE).
• National AI Office (NAIO) policy direction.
• ISO/IEC 42001 + NIST AI RMF.

What are Malaysia's AI governance guidelines?

The National Guidelines on AI Governance & Ethics (AIGE) set seven principles — including fairness, transparency, accountability and security — for responsible AI. We help you implement and evidence them.

Did Malaysia's PDPA change recently?

Yes — recent amendments strengthen obligations including breach notification and data-protection officers. AI systems processing personal data must meet the updated PDPA, which we assess.

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.