UDSA-AI Lite
AI Data Exposure Check
A Rapid Self-Assessment for Organisations Using RAG, MCP, or Fine-Tuning
Identify AI-related unstructured data exposure risks in your organisation
Identify hidden data leakage, compliance, and governance risks in your AI systems in under 15 minutes.
Focus on Data Flows
Assess data entering and leaving AI systems, not model ethics or accuracy
Immediate Insights
Receive your AI data exposure summary instantly upon completion
Board-Ready Output
Professional assessment suitable for CISOs, DPOs, and compliance leaders
About This Assessment
This executive-grade self-assessment helps organisations understand their exposure to AI-related data risks, particularly when using generative AI, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), or fine-tuning with internal data.
The assessment focuses specifically on unstructured data governance—how information enters, is processed, and leaves AI systems—rather than model accuracy or ethical considerations.
Target Users: CISOs, Data Protection Officers, Heads of Risk, Compliance Leaders, and Innovation/IT leaders under governance scrutiny.
14 questions · Under 15 minutes