Comprehensive security architecture for PII masking, RAG vector isolation, and policy-as-code guardrails across production LLMs.
IN THIS GUIDE
1. Real-Time PII & Sensitive Data Masking
All incoming prompts and document ingestions are sanitized via an inline policy engine prior to vector embedding or model inference. Personal Identifiable Information (PII), social security numbers, and financial account numbers are automatically replaced with encrypted tokens.
typescriptvarixen-cli
import { createGovernanceGuard } from "@varixen/security";
export className GovernancePipeline {
private guard = createGovernanceGuard({
maskPii: true,
toxicityCheck: true,
maxTokenBudget: 4096,
});
async processPrompt(rawInput: string) {
const sanitized = await this.guard.sanitize(rawInput);
return sanitized;
}
}2. Multi-Tenant Vector Namespace Isolation
To prevent cross-tenant data leakage in enterprise RAG systems, all vector embeddings are isolated using dedicated metadata namespaces enforced at the database driver level.
3. Immutable Decision & Prompt Audit Trails
Model queries, system responses, latency metrics, and safety flags are logged asynchronously to encrypted TimescaleDB tables for full compliance auditing.