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AI Security

LLM Security Gateway

A prompt firewall concept that detects unsafe cybersecurity intent, prompt injection, and data leakage risk.

Next.jsTypeScriptZodSupabase RLSPolicy design

Architecture snapshot

Client experience backed by a static safety engine, server-side logging, privacy-first metadata, and reusable policy categories.

Problem

Teams want AI assistance, but unmanaged prompts can leak sensitive data or request unsafe outputs.

Solution

Classify prompts into allow, review, or block decisions with safer rewrites and responsible-use explanations.

Security controls

Prompt classification, Sensitive-data warnings, Unsafe request refusal, Minimal logging

AI automation layer

Safer prompt rewrite, Risk category, Guardrail status, Decision trace

Business value

Gives teams a practical pattern for adopting AI without turning it into an unreviewed security tool.

What I learned

Guardrails need clear user education, not just a hidden blocklist.