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Produkt

Agentic AI chat, connected to your models, protected by your controls

Use Claude, ChatGPT, or your own LLM without exposing sensitive data. A secure AI workspace for teams that need real agent capabilities.

Connect your own Claude, ChatGPT, or backend LLM account. Run powerful chat agents with search, files, tools, and sandboxed server-side execution while automatically anonymizing PII and credentials before requests leave your environment.

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ChatDateien
DefaultDraft email
YOU
Please draft a professional reply to this email, but do not expose or repeat any sensitive personal or financial details.
Email:
From: Sarah Mitchell <sarah.mitchell@example.com>
To: Accounts Team <accounts@example.com>
Subject: Updated billing and verification details
Hi,
Please update my billing profile with the following details:
Full name: Sarah Mitchell
Home address: 1247 Maple Ridge Lane, Portland, OR 97205
Phone: (503) 555-0184
Date of birth: 04/16/1987
SSN: 123-45-6789
Credit card: 4111 1111 1111 1111
Expiration: 08/28
CVV: 123
Bank account: 987654321
Routing number: 021000021
Please confirm once this has been updated.
Thanks,
Sarah
ASSISTANT
Subject: Re: Updated billing and verification details
Hi,
Thank you for sending the updated information. For security reasons, we cannot confirm, repeat, or process sensitive personal or financial details over email.
Please submit any billing or verification updates through our secure account portal, or contact our support team through the verified support channel if you need assistance.
Once submitted securely, we'll review the update and confirm when the profile has been updated.
Best regards,
Accounts Team
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Das Problem

Most teams want LLM productivity, but they face three blockers

  • Sensitive data leaks into third-party models
  • Teams are locked into one provider or hosted model stack
  • Agentenbasierte Workflows treffen auf DSGVO, EU AI Act und Audit-Pflichten, die ein gehosteter Chat-Bot allein nicht erfüllen kann

Outgate Chat gives teams the power of modern AI agents without giving up control over data, models, or infrastructure.

What you get

01

Bring your own AI accounts

Connect existing Claude and ChatGPT accounts, or route requests to your own backend LLM.

02

Automatic PII & credential protection

Detect and anonymize sensitive data before it is sent through the AI gateway.

03

Full agentic workspace

Run server-side agents with sandboxed execution, file workflows, search, tool use, and multi-step task handling.

04

Deployment control

Use the hosted platform, private deployment, or on-prem setup for regulated environments.

Wie es funktioniert

From prompt to protected response

  1. 01User starts a chat or agent task
  2. 02Files, prompts, and context are processed in the secure workspace
  3. 03PII and credentials are anonymized before model calls
  4. 04Requests route through the AI gateway to Claude, ChatGPT, or your own LLM
  5. 05The agent runs tools, search, and files in a sandboxed server-side environment
  6. 06Results return with protected context restored where appropriate

See how secure agentic AI fits into your stack

Book a technical demo, or try it now in your browser.

Book a technical demoTry it now

Frequently asked questions

It helps detect, mask, and manage sensitive information before it is shared with AI tools, teammates, or external systems.
Anyone who has paused before pasting something into ChatGPT. Whether it's a personal email, a work doc, customer data, medical info, or your company's source code, if you've ever thought 'should I really be sending this?', this is for you. Regulated teams, careful individuals, and anyone whose AI answer is currently not yet, not safely.
Personal data (names, emails, phone numbers, addresses, dates of birth, government IDs, health info), financial data (credit cards, bank accounts, IBANs), and credentials and secrets (passwords, API keys, OAuth tokens, AWS keys, database connection strings, .env values).
Hosted deployments store conversation history scoped to your organization for retrieval. Private and on-prem deployments keep all content inside your environment with retention policies you configure.
No. It's a full agentic workspace. The agent can run deep research, search the web, read and write files, execute code in a sandbox, call tools, and chain those steps into multi-step workflows. Every action runs through the same anonymization pipeline, so files, search results, and tool inputs stay protected end to end.
We never keep a copy of your sensitive data. Instead, we store a one-way cryptographic fingerprint, like a unique signature, that lets us recognize the same value if it appears again, without ever holding the original. The real password, API key, or personal detail stays with you. The fingerprint can't be reversed back into the original, even by us.
You can teach it. Scan your repo or a folder of sensitive files and it learns the fingerprints of what's in there, your real credentials, internal IDs, customer data, so they're recognized instantly the next time they appear. You can also add specific values manually. The default detection covers the usual categories (personal data, financial info, credentials), and your additions sit on top, scoped to your organization.
Create a free account and start chatting in minutes. Default protections are on out of the box, no setup required. If you'd rather see it live with someone walking you through the technical and regulatory side, book a demo session.