AI Data Access Governance for Multi-Cloud Environments

Unified Data Discovery and Classification

This demonstration showcases Commvault's data and AI access governance platform, powered by Satori, which provides unified visibility across multi-cloud, SaaS, and database environments. The platform automatically discovers and continuously classifies sensitive data across AWS, Azure, Google Cloud, Snowflake, Databricks, and other connected systems. Unlike point-in-time scans, Commvault maintains real-time visibility into data movement and assigns risk scores to each asset, enabling security teams to prioritize governance actions based on actual exposure levels. The Discovery and Classification dashboard serves as a central hub for understanding data health, displaying alerts for new data stores containing sensitive content such as linkable PII and operational data.

Policy-Aware AI Prompt Redaction

The walkthrough demonstrates how Commvault addresses AI-specific data exposure risks through policy-aware prompt redaction. When users submit prompts containing sensitive information like salaries, social security numbers, or home addresses to AI assistants, the platform intercepts these requests before they reach the model. Using the same unified access governance policies defined for data stores, Commvault automatically detects sensitive fields and applies inline masking and redaction. This approach differs from traditional data loss prevention tools that simply block entire prompts, instead maintaining productivity while protecting regulated information. The system prevents sensitive data from contaminating large language model datasets while still enabling AI to generate meaningful responses based on redacted inputs.