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.

Customer Support AI

Keep your support bot helpful, on-brand, and safe

Every user message is screened before it reaches your model, and every response before it reaches the customer — so jailbreaks, harmful output, and off-brand answers never ship.

Protect your team For developers

The problem

Users jailbreak your support bot into saying things that damage your brand.
The bot hallucinates promises — refunds, legal claims — your business can't honor.
Customer PII flows through prompts into logs you didn't intend.

What Emil catches for customer support ai

Prompt-injection and jailbreak attempts
Harmful, abusive, or off-brand responses
Unauthorized promises and claims (via custom rules)
Customer PII in prompts and responses

Regulations this maps to

Consumer-protection (FTC §5)
Customer DPAs
Platform content policies

A content filter reduces regulatory risk but isn't compliance on its own. Review presets with counsel.

Questions

How does Emil keep a support bot on-brand?

Emil screens the bot's responses against your policy — built-in safety categories plus natural-language rules you define — and blocks or rewrites anything off-brand, harmful, or non-compliant before the customer sees it.

Does it stop jailbreaks?

Yes. Emil detects prompt-injection and jailbreak patterns on the input side and refuses them before they reach your model, with a model classifier for the fuzzy long tail.

Will it add latency?

The deterministic layer runs in well under a millisecond; the model classifier only runs when needed. You can also run deterministic-only for the lowest latency.

How do I integrate it?

Point your bot's OpenAI-compatible base URL at Emil — one line — and every request and response is screened.

Other industries

AI Builders Financial Services Education