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AI Data Loss Prevention

88 words·1 min
Table of Contents

Definition
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Models monitoring data flows to detect/prevent PII, IP, or financial data leaks.

Key Characteristics
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  • Context-aware classification
  • User behavior analytics
  • Encryption enforcement
  • Policy automation

Why It Matters
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Reduces breach costs by $1.2M per incident on average (Ponemon).

Common Use Cases
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1- Email attachment scanning 2- Cloud storage monitoring 3- Endpoint device control

Examples
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  • Microsoft Purview
  • Symantec DLP
  • Forcepoint

FAQs
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Q: Cloud app coverage?
A: 150+ SaaS integrations including Slack, Teams, and Salesforce.

Q: Encryption handling?
A- Analyzes metadata without decrypting sensitive content.