As modern organizations rush to integrate Generative AI, Large Language Models (LLMs), and autonomous agents, organizational cyber vulnerabilities multiply exponentially. Our AI Security Audit and ISO/IEC 42001 AIMS compliance practice establishes empirical technical guardrails, protects proprietary data from training poisoning, and eliminates model inversion risks.
Our technical audit evaluates your machine learning pipelines and RAG (Retrieval-Augmented Generation) architectures against the core vulnerabilities targeting AI systems:
| Vulnerability Vector | Threat Scenario | Technical Audit & Defensive Safeguards |
|---|---|---|
| LLM01: Prompt Injection | Adversarial user prompts bypass system instructions, causing unauthorized tool execution or sensitive database exfiltration. | Auditing system prompt architecture, input sanitization layers, guardrail models (Llama Guard), and secondary validation checks. |
| LLM02: Sensitive Data Leakage | Proprietary IP, client PII, or internal credentials leaked through model training sets or unintended retrieval context. | Testing RAG pipeline authorization, automated PII scrubbing (Presidio), and enforcing data loss prevention (DLP) across embedding stores. |
| LLM03: Supply Chain Vulnerabilities | Compromised pre-trained base models, poisoned third-party packages, or backdoored Hugging Face weights. | Software Bill of Materials (SBOM) for AI components, cryptographically signed model weights, and vendor API security evaluations. |
| LLM04: Data and Model Poisoning | Threat actors manipulate pre-training or fine-tuning datasets to introduce algorithmic bias or secret bypass triggers. | Data lineage verification, cryptographic hashing of training sets, and anomaly detection during training loss convergence. |
| LLM05: Improper Output Handling | Unsanitized LLM responses fed directly into system interpreters (e.g. SQL, JavaScript, bash), enabling remote code execution (RCE). | Strict context-aware output encoding, parameterized API queries, and sandboxed execution environments. |
ISO/IEC 42001 establishes an auditable management framework specifically designed for entities developing, providing, or deploying AI systems. We help organizations establish: