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

Data loss prevention built for the AI era

Traditional DLP never saw the prompt box. Emil sits where employees actually paste data — the AI tool — and stops PII, secrets, and confidential content before it leaves.

Protect your team For developers

Why legacy DLP misses AI

Email and endpoint DLP don't inspect what's typed into a browser AI chat.
Sensitive data pasted into ChatGPT is gone — into a third party's servers and logs.
You can't prove to auditors that client data stays out of AI tools.

What Emil catches

PII — SSNs (with or without dashes), emails, phone numbers, addresses
Financial data — account, routing, and card numbers
Secrets — API keys, tokens, private keys, passwords
Confidential and privileged content via custom rules

Where it runs

In-browser, before the prompt is sent (extension)
In front of your own AI product (OpenAI-compatible proxy)
Deterministic local mode — text never leaves the machine

Screening happens in memory; only finding metadata is retained, never the data itself.

Questions

How is this different from regular DLP?

Legacy DLP watches email, endpoints, and network egress — not the AI prompt box in a browser. Emil inspects the prompt itself, on the AI tools your team uses, which is where AI-era leaks actually happen.

Does it redact or just block?

Both, by policy. Emil can redact the sensitive span and let the safe remainder through, warn the user, or block the send entirely.

Can it run without sending text anywhere?

Yes. Emil's deterministic detectors run fully locally, so PII and secrets can be caught with nothing leaving the machine.

Does it detect SSNs without dashes?

Yes — Emil detects SSNs with or without separators using structural validation, plus obfuscation-resistant matching.

Why legacy DLP misses AI

What Emil catches

Where it runs

Questions

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