
Risk Mirror
Stop leakingpersonal data to OpenAI/Claude/Gemini
Most competitors wrap 3rd party APIs. We are the API.
The Engine: PII Firewall Edge (RapidAPI).
The Scarcity: We enable 152 PII types (far beyond standard regex libraries) because we own the underlying classification engine.
The Economics: Because we own the API, we have zero marginal cost for the intelligence layer. This allows us to offer Enterprise-grade safety to developers in affordable pricing with military grade security.
The industry relies on "Guardrail Models" (LLMs policing LLMs). This is fundamentally flawed:
Non-Deterministic: They hallucinate safety.
Latency Tax: Inference is slow (200ms+).
Cost: GPUs are expensive.
Risk Mirror's approach: We treat prompts as data, not language. We use military-grade deterministic algorithms (Chaos Theory, Shannon Entropy, Bounded Regex).
2 Likes
Comment
This is fundamentally flawed:Non-Deterministic: They hallucinate safety.
1 Like
Comment
If you're hitting the message cap on Claude/Cursor, you're sending too much fluff. "Please", "Thank you," and verbose context contexts are eating 30% of your token budget.
I built Risk Mirror to mathematically compress prompts (removing filler, preserving logic).
It’s usually a Pro feature, but is completely free for now while I benchmark compression rates.
Free Tools Included:
✅ Prompt Optimizer (Save 40% tokens)
✅ Safe Share (Redact PII from LOGS/Text instantly)
✅ Risk Scanner (Check prompts before pasting)
✅ Clarity Analyzer (Fix vague inputs)
Grab it before I have to close the free tier - Risk Mirror
1 Like
Comment
About
I built Risk Mirror because 'Shadow AI' has become the biggest data leak vector of our generation. Every day, developers and employees copy-paste customer databases, production logs, and source code into ChatGPT/Claude.

1 Comment
Congratulations on your launch. It looks impressive! What channels are you exploring to attract early users?