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Testing · 6 min read

AI & LLM Security Guide

AI systems introduce new risks that traditional testing misses. MITRE ATLAS and the OWASP LLM Top 10 map them.

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1. The new risks

  • Prompt injection and jailbreaks.
  • Training-data poisoning.
  • Model extraction/theft and membership inference.
  • Insecure output handling and excessive agency.

2. How to test

Adversarial-ML and LLM red teaming, mapped to MITRE ATLAS, probe these behaviours across the model and its data supply chain.

3. Govern it

ISO 42001 provides a certifiable AI management system for responsible, well-governed AI.

How CyberSigma helps

Our AI/LLM security testing uses MITRE ATLAS to find prompt-injection, poisoning and model-theft risks, with a mitigation roadmap.

This guide is educational and not legal advice. Requirements evolve — validate specifics against the current standard or regulation for your situation.

Turn this guide into a plan

Our CERT-In empanelled auditors can take you from reading about it to certified — with a scoped, guided programme.

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