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AI Data Access Governance for Multi-Cloud Environments

commvault
02/27/2026
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TL;DR

  • Commvault's AI access governance platform, powered by Satori, provides unified visibility and policy enforcement across multi-cloud environments, SaaS platforms, databases, and AI workloads through continuous discovery and classification of sensitive data.
  • A single unified policy governs access for human users, services, and AI models, enforcing dynamic masking and redaction rules across all connected environments to implement least-privilege access at query time.
  • Policy-aware prompt redaction intercepts AI queries before they reach models, automatically detecting and masking sensitive fields like PII, salaries, and passwords while maintaining productivity and preventing data contamination of LLM datasets.
  • Unified audit logs capture every data access request, AI prompt, masking action, and applied policy, providing security and compliance leaders with a single authoritative record for rapid compliance reviews and regulatory reporting.

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.

Chapters

0:00 - AI Risk Landscape
0:51 - Unified Access Governance Introduction
2:23 - Data Discovery and Classification
4:05 - Masking and Redaction Policies
5:17 - AI Prompt Redaction Demo
6:48 - Audit and Compliance Capabilities
8:07 - Platform Value Summary

Key Quotes

0:17 "Ransomware was yesterday's threat. Today, AI can exfiltrate sensitive data in seconds."
0:45 "One policy governs users. Another, if it exists, governs apps. AI models? Usually none."
4:47 "Unlike traditional data protection vendors that mainly focus on DSPM and visibility, Commvault goes further. It not only protects data, but also governs live data access across structured, unstructured, and AI-driven workloads."
6:06 "Commvault, powered by Satori, offers a policy-aware prompt redaction feature that differs from tools that rely on data loss prevention or block entire prompts."
Categories:
  • » Webinar Library » Commvault
  • » Data Protection » Backup & Recovery
  • » Cybersecurity » Data Security
  • » Data Protection
Channels:
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Tags:
  • AI & Machine Learning
  • Data Privacy
  • Cloud Security
  • Compliance & Governance
  • Demo
  • Technical Deep Dive
  • AI Data Governance
  • Multi-Cloud Security
  • Data Access Control
  • Prompt Redaction
  • Sensitive Data Discovery
  • Dynamic Data Masking
  • Compliance Auditing
  • DSPM
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