Key Capabilities

AI Protection & Governance Overview
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AI Protection & Governance Overview

AI Training Data Discovery & Lineage

Identify and classify the sensitive data feeding your AI/ML pipelines while maintaining complete audit trails. Document every transformation applied to your datasets to ensure your models are built on compliant, high-quality data—essential for meeting EU AI Act and DPDP requirements.

Securing AI/ML Workloads & Lifecycle

Protect sensitive information from initial ingestion through to final model deployment. By integrating with platforms like Databricks, SageMaker, and Vertex AI, Mage Data secures the entire ML lifecycle, governing PII in feature stores and protecting real-time inference logs.

Privacy-Preserving Data Preparation

Transform production data into AI-ready datasets using anonymization and synthetic data methods that preserve the statistical patterns essential for model accuracy. This allows teams to iterate quickly with high-fidelity data while completely eliminating PII exposure.

Role-Based AI Data Access

Enforce granular access controls tailored to different AI personas. Ensure that data scientists receive only anonymized datasets, ML engineers access metadata, and third-party vendors work with synthetic data—preventing unauthorized internal exposure of sensitive assets.

GenAI Firewall & Real-Time Prompt Protection

Secure all interactions with external AI tools like ChatGPT and Microsoft Copilot. Our zero-exfiltration firewall provides sub-100ms inspection and redaction of prompts in real-time, preventing intellectual property, source code, and customer PII from leaving your network.

Ready to Get Started?

See AI Protection & Governance in action with a personalized demo.