PII Protection for LLMs: GDPR Compliance Made Simple

The GDPR Challenge for AI

When users interact with LLM-powered applications, they often share sensitive information:

• Names, emails, phone numbers
• Social security numbers
• Credit card details
• Health information

If this data reaches cloud LLM providers (OpenAI, Anthropic, etc.), you may be violating GDPR’s data minimization principle.

SafeLLM’s Dual-Mode PII Detection

Fast Mode (Regex)

• Latency: 1-2ms
• Coverage: Email, phone, credit cards, common formats
• Best for: High-throughput, low-latency requirements

export USE_FAST_PII=true

AI Mode (GLiNER)

• Latency: 20-25ms
• Coverage: 25+ entity types, context-aware
• Best for: Enterprise, high-accuracy requirements

export USE_FAST_PII=false

Custom Entity Types (Enterprise)

Define company-specific PII patterns:

• Employee IDs (e.g., EMP-12345)
• Project codes
• Internal terminology

Anonymization Strategies

SafeLLM supports multiple strategies:

Air-Gapped Compliance

For the strictest requirements, SafeLLM Enterprise runs 100% offline:

• No data leaves your network
• All AI models loaded locally
• Full audit trail for regulators

Implementation Checklist

1. Enable PII detection in your SafeLLM config
2. Choose appropriate mode (Fast vs AI)
3. Configure entity types for your use case
4. Enable DLP output scanning (catch model responses)
5. Set up audit logging for compliance evidence

Ready to secure your LLM workflows? Get started with OSS or contact us for Enterprise.