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Data Protection

Data Protection prevents accidental or malicious leakage of confidential business information and personally identifiable information (PII) during AI interactions.

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Core Protection Capabilities

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1. DLP Management (Business Data Loss Prevention)

Protects proprietary business assets in prompts, uploaded files, and model responses:
  • API Keys & Credentials: Prevents AWS keys, OpenAI tokens, passwords, and private certificates from leaking.
  • Source Code & Architecture: Detects internal repositories and code snippets.
  • Contracts & Financials: Identifies confidential agreement drafts and financial data.

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2. PII Redaction (Privacy & Compliance)

Automatically detects and masks personal identifiers to satisfy GDPR, HIPAA, and CCPA standards:
  • Identifiers: Names, email addresses, phone numbers, national IDs (SSN, DNI, Passport numbers), credit cards.
  • Redaction Modes:
    • Mask: Obfuscates sensitive strings (e.g., user@*****.com, --****-1234).
    • Remove: Strips the sensitive text entirely.
    • Tokenize / Hash: Replaces sensitive data with deterministic pseudonyms for internal processing.

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3. Semantic Verifier

Assists in security and legal investigations by determining if a suspicious piece of text was generated by your SecureAI tenant:
  • Confidence Levels: Verified, Probable Match, Ambiguous, No Match.
  • Usage: Go to Admin ? Data Protection ? Semantic Verifier and paste the text snippet to analyze origin probability.

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Configuration & Setup

  1. Global Settings: Go to Admin ? Data Protection to enable real-time scanning for inputs, outputs, and file attachments.
  2. Templates & Custom Rules: Load regional/industry starter templates or add customized regex patterns.
  3. Simulation Mode: Test policies against sample datasets before enforcing them in production.
  4. Incident Monitoring: Review redaction and blocking metrics under the Data Protection incident logs.