Build secure AI
the right way.
Practical, copy-paste tutorials for adding AI guardrails, PII protection, and policy enforcement to your LLM integrations.
How to Add AI Guardrails to Any LLM API in 5 Minutes
Your LLM calls are unprotected by default — any user can leak PII, trigger a jailbreak, or extract system prompts. This guide shows you how to add a policy layer in front of any OpenAI-compatible endpoint with zero code changes.
How to Prevent PII Leaks in LLM APIs
Regex is fragile. NER is better. A policy-layer proxy is best. This guide walks through every approach — with GDPR, HIPAA, SOC2, and CCPA compliance mapping and copy-paste code examples for curl, Python, and Node.js.
LLM Audit Trails: How to Log Every AI Request for SOC 2
SOC 2 CC7.2 requires evidence of monitoring — not dashboards, not application logs. This guide covers what auditors actually check, the full audit event schema, and how a proxy-layer approach generates compliance-ready records on every LLM call automatically.
EU AI Act Compliance Checklist for LLM Applications
Enforcement begins August 2026. A complete compliance checklist covering risk classification, mandatory documentation, audit trail requirements, and penalties up to EUR35M.
HIPAA Compliance Checklist for LLM-Powered Healthcare Applications
PHI sent to an LLM without a BAA is a HIPAA violation. This checklist covers PHI risk classification by use case, BAA requirements for every vendor, minimum necessary enforcement before inference, Security Rule technical safeguards, and breach notification procedures.
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