PII firewall for LLM interactions. Automatically anonymizes sensitive data before it reaches AI models and restores it in responses.
Secure LLM
Watch how Polygraf intercepts, anonymizes, and de-anonymizes data seamlessly — so your LLM never sees real PII.
User Input
“What was the treatment plan for patient John Smith?”
Secure LLM Firewall
Policy Enforcement
LLM Receives
Analyzes every query for sensitive content before processing. Auto-redact, block, or flag based on policy.
Scans LLM responses before displaying to users. Strips hallucinated sensitive information.
Maintains semantic accuracy. "John Smith" as patient vs. historical figure handled correctly.
Response Time
50-200ms
Throughput
50-100 req/sec
Accuracy
93-98% F1
Deployment
API Middleware
Infrastructure
On-Premises/VPC
Requirements
8GB RAM, CPU-only
Deploy Secure LLM and gain complete visibility into your AI interactions
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Data Privacy 
Data Provenance 
Content Generation