AI Anonymization
Removing or masking personally identifiable and confidential information from data before it reaches an AI or LLM, so the model never sees sensitive raw data.
Related terms
LLM (Large Language Model)
An AI model trained on large text datasets to understand and generate language, used for summarization and analysis.
Masking
Hiding or replacing sensitive information with placeholder values so the underlying data can't be viewed or extracted.
Access Control
Rules and permissions that determine which people or systems can view, edit, or process specific data, often role-based.
Agentic Workflows
Automated, multi-step processes where AI agents perform tasks — retrieving insights, drafting reports — autonomously without exposing raw sensitive data.
AI Act (EU AI Act)
EU legislation that regulates AI systems by risk level, with penalties up to €35M or 7% of global turnover for non-compliance.
AI Compliance
The practice of ensuring AI tools and workflows meet applicable data-protection and industry regulations before and during deployment.
See AI Anonymization in practice
Questa AI anonymizes sensitive data before it reaches any AI model — across documents and live prompts, with governance and data-residency control.