AI / LLM security audit

Applications built on AI, and on language models in particular, introduce risks that classic audits do not cover: manipulation of prompts, leakage of sensitive data through the model, dependence on external components, misuse. The firm assesses them in light of the architecture and the actual uses.

The audit examines the data flows, the guardrails in place and the access controls, then returns ranked findings. It connects with AI governance when regulatory obligations are at stake.