AI Compliance
The practice of ensuring AI tools and workflows meet applicable data-protection and industry regulations before and during deployment.
Related terms
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 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.
AI Governance
The policies, controls, and oversight — audit trails, monitoring, access rules — organizations use to ensure AI systems operate safely and within regulation.
AI Risk (Risk Vectors)
The potential for data exposure, privacy violation, or non-compliance created when sensitive information is processed by AI without safeguards.
See AI Compliance in practice
Questa AI anonymizes sensitive data before it reaches any AI model — across documents and live prompts, with governance and data-residency control.