KVigil
Kyyba
// Data Privacy · LLM Interaction Security

AI FIREWALL

Pseudoanonymize sensitive information in LLM interactions — in real time. Let your team use AI freely without exposing PII, PHI, or confidential data to external models.

INPUT (raw)
Patient John Smith, SSN 123-45-6789, diagnosed with diabetes
↓
TO LLM (masked)
Patient [PERSON_A], SSN [ID_001], diagnosed with [CONDITION_A]
↓
RESPONSE (restored)
Patient John Smith's treatment plan...
// How It Works
01
Intercept
Firewall sits inline between users and any LLM. Every prompt is inspected before leaving your perimeter.
02
Detect & Mask
NER models identify PII, PHI, financial data, and org-specific secrets. Replaced with reversible tokens.
03
LLM Processes
Masked prompt travels to OpenAI or any external model. Zero sensitive data ever leaves your environment.
04
Re-identify
Response returns through firewall. Tokens are resolved back to originals — seamless for the end user.
// Why It Matters
Compliance Without Friction
Meet HIPAA, GDPR, CCPA, and state data residency rules without blocking AI access or slowing workflows.
Stop Accidental Exposure
Employees paste SSNs, health data, and constituent info into ChatGPT without thinking. The firewall catches it automatically.
Model Agnostic
Works across OpenAI, Azure, Anthropic, Gemini, or any API-accessible LLM. One policy layer, every model.
Full Audit Trail
Every interaction logged with entity types detected, risk scores, and user attribution — ready for compliance review.
Let AI Work.
Keep Data Safe.
https://kyyba.com