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AI Glossary

Data Leak Prevention (for AI)

Specific controls preventing sensitive organizational data from being exposed through AI interactions.

TL;DR

  • —Specific controls preventing sensitive organizational data from being exposed through AI interactions.
  • —Understanding Data Leak Prevention (for AI) is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

Data leak prevention for AI goes beyond traditional DLP by addressing AI-specific vectors: users pasting sensitive documents into chat, uploading confidential files for analysis, or inadvertently sharing proprietary information through prompts. Dual-layer guardrails with PII redaction provide comprehensive protection.

Related Terms

Data Loss Prevention (DLP)

Technologies and practices that detect and prevent unauthorized transmission of sensitive data.

PII Redaction

The automatic detection and removal of personally identifiable information from text before it reaches AI models.

AI Guardrails

Safety mechanisms that constrain AI system behavior to prevent harmful, biased, or off-policy outputs.

Semantic Filtering

AI-powered content analysis that understands meaning and intent rather than relying on keyword matching.

Knowledge Hub

Glossary FAQs

Data Leak Prevention (for AI) is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage specific controls preventing sensitive organizational data from being exposed through ai interactions.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Data Leak Prevention (for AI) through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like Data Loss Prevention (DLP) and PII Redaction.

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