Best Practices

    Enterprise AI DLP
    Best Practices

    To use generative AI safely, enterprises need to start with AI usage visibility, then operate sensitive data detection policy, file upload control, user warnings, and audit log systems together.

    6 AI DLP Operating Best Practices

    01

    Start with Visibility into AI Usage

    Before setting policies, identify which AI services are used across the organization. Detecting all AI service access — including Shadow AI — lets you accurately define the scope of control.

    • Leverage a database of 13,000+ AI tools
    • Run detection-only mode for the first 2 weeks
    • Get per-department AI usage reports
    02

    Define Policies by Data Category

    Applying the same policy to all data leads to high false positives and productivity impact. Apply differentiated policies by category: PII, source code, financial data, internal documents.

    • PII: block or mask
    • Source code: warn + log
    • General business documents: monitor only
    03

    Control Clipboard & Files, Not Just Prompts

    Sensitive data enters AI not only through typed prompts but also via clipboard paste, file attachment, and drag-and-drop. All input paths must be covered.

    • Enable clipboard monitoring
    • Configure file upload inspection
    • Include browser input data analysis
    04

    Prioritize Warn + Educate Over Blocking

    Blocking everything from the start causes employee frustration and workflow disruption. Showing warnings with educational messages explaining why something is a problem increases security awareness and policy acceptance.

    • Step 1: show warning message
    • Step 2: allow after justification input
    • Step 3: block only high-risk data
    05

    Choose an Endpoint-Based Solution

    Network proxy approaches cannot cover remote workers or IDE coding assistants. An endpoint agent operates directly on the device and provides consistent control regardless of network environment.

    • No SSL certificate installation required
    • Covers remote and office environments
    • Controls IDE-integrated AI coding assistants
    06

    Systematize Audit Logs and Regular Reviews

    AI DLP is not a set-and-forget solution. New AI services constantly emerge, so regularly review Shadow AI detection results and update policies accordingly.

    • Quarterly policy review
    • Monthly report on newly detected Shadow AI
    • Retain logs for compliance audits

    Frequently Asked Questions

    Endpoint-based is more effective. Network-based solutions cannot cover remote workers or IDE-integrated AI assistants. Endpoint agents operate directly on devices, providing consistent control regardless of network environment.

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