AI & LLM Security in South Africa

AI & LLM security in South Africa protects AI and Large Language Model applications from prompt injection, data leakage, model poisoning and excessive agency. South Africa published a National AI Policy Framework (2024) as a step toward a national AI strategy, while the Information Regulator actively enforces POPIA — including on automated processing. CyberSigma delivers LLM red-teaming and AI governance mapped to the Information Regulator 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 South Africa organisations

South Africa published a National AI Policy Framework (2024) as a step toward a national AI strategy, while the Information Regulator actively enforces POPIA — including on automated processing. That momentum means South Africa 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 Information Regulator 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 Information Regulator.
• Secure AI adoption — GenAI usage policy, shadow-AI and data-leak controls.

POPIA enforcement and the National AI Policy Framework

South African organisations in banking, telecoms and retail are adopting AI under the Protection of Personal Information Act (POPIA), which gives data subjects rights around automated decision-making, while the 2024 National AI Policy Framework signals where national regulation is heading.

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 South Africa 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 South Africa

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

• Protection of Personal Information Act (POPIA), incl. automated-decision rights.
• National AI Policy Framework (2024) alignment.
• Security safeguards expected by the Information Regulator.
• ISO/IEC 42001 + NIST AI RMF.

Does POPIA regulate automated decision-making?

Yes. POPIA gives data subjects rights regarding decisions based solely on automated processing. AI that makes such decisions needs safeguards and transparency, which we assess and document.

Is there an AI law in South Africa?

Not yet a dedicated statute, but the 2024 National AI Policy Framework sets the direction and POPIA already governs personal data in AI. We align you to both.

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.