DLP for AI
Data Loss Prevention for AI uses policies and automated controls to prevent sensitive information from being exposed through AI prompts, responses, or connected applications.
What is DLP for AI?
DLP for AI monitors data flowing into and out of AI systems, including user prompts, model responses, uploaded content, and agent interactions. It can detect information such as PII, financial data, credentials, API keys, intellectual property, and other sensitive content. Based on organizational policies, detected data can be blocked, redacted, logged, or flagged for review.
Why is DLP for AI Important?
Employees and applications can unintentionally expose sensitive information when interacting with generative AI tools. Traditional DLP controls may lack the contextual understanding needed for conversational AI. AI-specific DLP helps organizations protect sensitive data while enabling safer adoption of AI across the enterprise.
Common use cases
DLP for AI is commonly used for sensitive data detection, prompt monitoring, response filtering, Shadow AI governance, regulatory compliance, and enterprise AI security.