## Find sensitive and regulated data fueling AI models and copilots

- Discover PII, secrets, credentials, and toxic data across training sets, data lakes, SaaS, and cloud environments
- Uncover unknown data sources feeding copilots and GenAI services

## Prevent AI from exposing secrets, PII, or toxic data

- Detect and quarantine sensitive data before it’s ingested, exposed, or surfaced in model outputs
- Catch early-stage misconfigurations and misuses before they escalate

## Control how data powers your AI—before it becomes a liability

- Trace how sensitive data is used across models, copilots, and AI services
- Enforce purpose limitation, residency, and usage policies across AI workflows

## Reduce risk before AI models are trained, deployed, or abused

- Automate policy checks for compliance and security violations
- Flag risky behavior, overexposed models, and rogue access patterns in real time

### Training Data Risk

- Identify PII, PHI, credentials, and IP in training datasets

- Surface bias, drift, and regulatory violations before they’re baked into the model

- Map lineage from raw data to model outputs to support explainability

### Shadow AI & Copilot Exposure

- Detect unauthorized AI tool usage (e.g. unsanctioned copilots, chatbots)

- Prevent sensitive data from being ingested, processed, or surfaced by GenAI models

- Discover when sensitive info is being shared via Slack, email, or code

### AI Access Governance

- See who has access to AI data, models, and pipelines

- Enforce least privilege and zero trust controls for users and workloads

- Detect excessive permissions or toxic access combinations

### AI Privacy & Compliance Risk

- Align AI data practices with frameworks like the EU AI Act, GDPR, CPRA, and NIST AI RMF

- Automate privacy impact assessments and [AI risk evaluations](https://bigid.com/blog/effective-ai-risk-management/)

- Identify where AI violates data minimization, purpose limitation, or residency requirements

### Insider & Data Leakage Risk

- Monitor how sensitive data flows into and out of AI systems

- Detect when confidential or toxic data is unintentionally exposed or misused

- Trigger automated remediation: redact, revoke, quarantine, or delete

### AI Model Exposure & Explainability Gaps

- Understand how sensitive data impacts model behavior, predictions, and output

- Map training data lineage to improve explainability and traceability

- Support audit readiness and regulatory response with detailed visibility into what data shaped your models

## Don’t Let AI Risk Catch You Off Guard.

Discover, govern, and reduce AI risk - before it becomes exposure.

[Get a Demo](https://home.bigid.com/demo)