Classify Data for AI Usage Eligibility

Automatically assign AI usage labels like “safe,” “restricted,” or “prohibited” based on sensitivity, risk, and compliance rules.
Customize label definitions to match internal policies and regulatory obligations.
Enable consistent governance over what data can be used for prompts, copilots, and models.

Automatically assign AI usage labels like “safe,” “restricted,” or “prohibited” based on sensitivity, risk, and compliance rules.
Customize label definitions to match internal policies and regulatory obligations.
Enable consistent governance over what data can be used for prompts, copilots, and models.

Leverage identity-aware classification to map data to owners, sensitivity levels, residency, and consent.
Build a richer picture of the data before it’s used in AI, and enforce labeling based on its true context.
Align data use with governance from the start.

Block restricted data from entering AI pipelines before it becomes a liability.
Use label-driven policies to automate enforcement across data sources and toolchains.
Minimize exposure by shifting control left — before models or copilots see the data.

AI Usage Eligibility Enforcement

Define and enforce what “safe for AI” really means inside your organization.
Automatically label data based on risk, regulation, or business rules.
Make it easy to distinguish what can or can’t be used in AI.

Sensitive Data Protection in AI Pipelines

Prevent personal, proprietary, or sensitive information from feeding AI models.
Identify content that shouldn’t be used — and label it before it enters RAG workflows or prompts.
Enforce compliance without slowing innovation.

RAG & Copilot Governance

Label and govern data that flows into retrieval-augmented generation pipelines or copilots.
Apply proactive controls before suggestions are generated on top of restricted content.
Reduce hallucinations and misuse from the source.

Audit & Reporting for AI Compliance

Track how labeled data is used, accessed, and shared across your environment.
Prove AI usage aligns with policy and meets internal and external compliance mandates.
Generate logs and reports with full label visibility.

Cross-Team Collaboration & Transparency

Give privacy, security, and AI teams a shared language for AI data use.
Use a unified labeling taxonomy to reduce confusion and improve governance alignment.
Drive faster decisions with clear classification.

Unified Labeling & Remediation

Integrate labeling into your broader data governance workflows.
Take action on policy violations directly in BigID — from access restriction to user notifications.
Close the loop between visibility and enforcement.

AI Labeling Isn’t Just Classification. It’s Risk Control.

BigID gives you the visibility, policy enforcement, and automation to govern AI data usage at scale — before it becomes a problem.