AI Application Security Assessment
Review architecture, identity, permissions, data flows and external integrations.

SECURITY SERVICE
AI 安全
Assess generative AI, large language model and RAG risks across data, prompts, model boundaries and application architecture.
Initial assessment clarifies trust boundaries across retrieval-augmented generation (RAG), models, applications and enterprise data.
Review architecture, identity, permissions, data flows and external integrations.
Assess prompt injection, jailbreaks, sensitive-data exposure and model boundaries.
Review knowledge sources, retrieval, access control, data poisoning and data leakage.
Use adversarial testing to validate real risk across AI applications and business workflows.