Is it safe to put company code into Cursor or Copilot?

Not by default. Whatever you paste or open gets sent to the AI provider's servers, including secrets and customer data. Emil sits between your tools and the model and catches API keys, credentials, customer data, and source code before they ever leave.

Can AI coding tools see my API keys and .env files?

Yes, whenever they end up in the files or prompts you send, which is the most common way secrets leak. Emil detects keys, tokens, passwords, and .env values and redacts them before the prompt reaches the model.

Does Emil slow down my AI?

No. Emil screens in the moment and hands the model a clean prompt, so you get the same responses at the same speed.

Does Emil store my prompts or my code?

No. Emil processes your text in memory and keeps only a short screening record (the decision, risk score, and a redacted preview), never the full content. Classification runs on Emil's own infrastructure, is never sent to a third-party model, and is never used for training.

Which tools does Emil work with?

Anything OpenAI-compatible: Cursor, Claude Code, Copilot, Lovable, v0, ChatGPT, Gemini, DeepSeek, Ollama, and self-hosted models. Point your tool at Emil instead of the provider, or use the browser extension if you don't write code.

Do I need to be technical to use it?

No. Developers change one line of config (the base URL). Everyone else uses the one-click browser extension that screens prompts before they reach the AI.

Solution

Content moderation for AI products, in one call

Whether it's user input or model output, Emil classifies content across 14 safety categories and five risk axes, then blocks, flags, or redacts based on the policy you set.

Protect your team For developers

Why this is hard

Harmful content can arrive in the user's prompt or appear in the AI's response.
One global threshold doesn't fit every product or audience.
You need an audit trail of every moderation decision for trust and safety reviews.

What Emil moderates

14 safety categories (violence, self-harm, hate, sexual content, and more)
Five-axis risk scoring: safety, privacy, security, compliance, brand
Both directions — user input and model output
Age-appropriate and audience-specific policy presets

Built for production

Per-tenant policies and thresholds you control
Fail-closed option so unsafe content is never let through on error
Audit trail of every decision, content never retained

Questions

What categories does Emil moderate?

Fourteen safety categories spanning violence, self-harm, hate, sexual content, illegal activity and more, scored across five risk axes — safety, privacy, security, compliance, and brand.

Can I set different rules per product?

Yes. Policies and score thresholds are per-tenant, with presets for general, brand-safe, family-safe, healthcare, finance, education, and more.

What happens if a classifier errors?

You choose the fail mode. Fail-closed blocks the request when a classifier is unavailable, so unsafe content is never let through on a best-effort basis.

Is content stored?

No. Text is classified in memory; only the decision, score, and a short redacted preview are kept for the audit trail.

Why this is hard

What Emil moderates

Built for production

Questions

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