> ## Documentation Index
> Fetch the complete documentation index at: https://docs.omnifact.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Why Data Privacy Matters

> Omnifact's comprehensive commitment to protecting your organization's data while leveraging AI capabilities

export const Glossary = ({children, term}) => {
  const glossaryDefinitions = {
    'ai': 'Artificial Intelligence - computer systems that can perform tasks typically requiring human intelligence',
    'artificial-intelligence-ai': 'Computer systems that can perform tasks typically requiring human intelligence',
    'ai-assistant': 'An AI system designed to help users with tasks through conversation',
    'space': 'A dedicated environment with a specialized AI assistant and optional Uploaded Files',
    'spaces': 'Dedicated environments with specialized AI assistants and optional Uploaded Files',
    'knowledge': 'The sub-menu in Space settings where you manage Uploaded Files and Connected Sources',
    'uploaded-files': 'Documents manually uploaded to a Space under the Knowledge tab',
    'prompt': 'Instructions or questions you give to an AI assistant',
    'response': 'The AI assistant\'s answer to your prompt or question',
    'query': 'A question or request for information',
    'context': 'Background information that helps the AI understand your request',
    'llm': 'Large Language Model - an AI system trained on vast amounts of text data to understand and generate human language',
    'large-language-model-llm': 'An AI system trained on vast amounts of text data to understand and generate human language',
    'privacy-filter': 'A system that automatically detects and masks sensitive information before it reaches AI models, and restricts images from being sent to non-EU hosted models for compliance',
    'chat-instructions': 'Custom guidelines that define how an AI assistant behaves and responds in a Space',
    'pattern-matching': 'The process by which AI recognizes and uses patterns in data to provide responses',
    'patterns': 'Recognizable structures or trends in data that AI systems can identify and use',
    'training-data': 'The text and information used to teach an AI system how to understand and respond to requests',
    'natural-language': 'Everyday human language that people use to communicate, as opposed to computer code or formal syntax',
    'hallucination': 'When an AI generates information that sounds plausible but is actually incorrect or fabricated',
    'filtering': 'The process of automatically detecting and temporarily replacing sensitive information to protect it during AI processing',
    'masking': 'Temporarily replacing sensitive information with generic labels to protect it from being seen by external AI models',
    're-insertion': 'The automatic process of putting original sensitive information back into AI responses after they\'ve been generated with filtered data',
    'retrieval': 'The process of finding and accessing relevant documents from Uploaded Files to answer questions',
    'hosting': 'Where an AI model is deployed and made available for use - either by third-party providers, on your organization\'s own servers, or in private cloud environments',
    'cite': 'To reference or mention the source of information, helping you know where an AI\'s answer came from',
    'sidebar': 'A panel that appears on the side of the screen showing additional information and options',
    'toggle': 'A button or control that switches something on or off, like opening and closing a sidebar',
    'navigation': 'The system of menus and buttons that help you move between different parts of Omnifact',
    'favoriting': 'Marking a Space as a favorite to pin it to the main navigation for quick access',
    'pinning': 'Attaching a Space to the main navigation bar so it\'s always visible and easily accessible'
  };
  const definition = glossaryDefinitions[term];
  return <Tooltip tip={definition}>{children}</Tooltip>;
};

In an AI-driven world, protecting your organization's sensitive information is non-negotiable. Omnifact is built from the ground up to ensure you can harness the power of AI without compromising on security or compliance.

**Our Promise:** We protect the people and relationships behind your data, not just the data itself.

<Info>
  **Team Admins:** You can configure the team-wide Privacy Filter settings in [Team Administration > Data Privacy](/en/platform/team-administration/data-privacy).
</Info>

## The Growing Need for Data Protection in AI

AI can unlock incredible value for your organization—but only if your sensitive data stays protected. Without strong privacy safeguards, even the most advanced AI systems can inadvertently expose personal details, trade secrets, or regulated information.

### Understanding the AI Privacy Landscape

Most <Glossary term="large-language-model-llm">large language model (LLM)</Glossary> providers are US-based companies. When using non-EU or non-self-<Glossary term="hosting">hosted</Glossary> models, your data may be transmitted to servers located in the United States. Additionally, some providers may retain your data for their own model training purposes, creating potential privacy and compliance challenges for organizations operating under strict regulatory frameworks.

### Omnifact's Privacy Commitment

<CardGroup cols={2}>
  <Card title="EU-Hosted Infrastructure" icon="server">
    Your data stays within EU jurisdictional boundaries.
  </Card>

  <Card title="No Training on Your Data" icon="lock">
    We never use your data to train our models.
  </Card>

  <Card title="Flexible Hosting" icon="location-crosshairs">
    Choose between EU-hosted or self-hosted options for complete sovereignty.
  </Card>

  <Card title="Intelligent Privacy Filter" icon="shield-check">
    Automatic masking of sensitive data before it reaches any AI model.
  </Card>

  <Card title="ISO 27001 Certified" icon="certificate">
    Independently audited and certified under ISO/IEC 27001:2022, covering the platform, infrastructure, and internal processes.
  </Card>
</CardGroup>

<Tip>
  Omnifact's privacy protections work holistically across the platform to safeguard your data at every touchpoint.
</Tip>

### Platform-Level Benefits

<CardGroup cols={2}>
  <Card title="Data Leak Prevention" icon="shield-check">
    Prevents accidental sharing of names, addresses, financial data, and company secrets through multiple layers of protection
  </Card>

  <Card title="Compliance Support" icon="clipboard-check">
    Helps meet GDPR, CCPA, and other regulatory requirements through EU hosting, privacy controls, and transparent data practices
  </Card>

  <Card title="User Confidence" icon="user-shield">
    Builds trust in AI adoption by ensuring employees and customers know their information is protected
  </Card>

  <Card title="Seamless Integration" icon="puzzle-piece">
    Privacy protections work automatically across all Omnifact features to maintain consistent security
  </Card>
</CardGroup>

## Practical Privacy Examples

Knowing what is "safe" vs "unsafe" can be confusing. Here are concrete examples of how to use Omnifact safely:

<CardGroup cols={2}>
  <Card title="✅ Safe to Share" icon="check" color="green">
    **"Here is a meeting transcript, summarize it."**
    *(Safe because Omnifact's Privacy Filter will mask names/PII, and the data stays in the EU)*

    **"Draft an email to the team about the new policy."**
    *(Safe internal business communication)*
  </Card>

  <Card title="❌ Do NOT Share" icon="xmark" color="red">
    **"Here are the unredacted credit card numbers of our clients."**
    *(Never share raw financial data or passwords, even with filters)*

    **"Analyze this patient's full medical history with their ID."**
    *(Highly regulated data requires specific compliance checks)*
  </Card>
</CardGroup>

## Frequently Asked Questions

<AccordionGroup>
  <Accordion title="How does Omnifact ensure my data remains in the EU?">
    Omnifact's infrastructure is fully hosted within the European Union. For Enterprise customers, we offer EU-hosted model options and self-hosting capabilities, ensuring your data never leaves your preferred jurisdiction.
  </Accordion>

  <Accordion title="Is my data used to train Omnifact's models?">
    No. Omnifact has a strict policy against using customer data for model training. Your information remains yours alone and is never repurposed to improve our AI systems.
  </Accordion>

  <Accordion title="How does the Privacy Filter work with uploaded documents and images?">
    The Privacy Filter automatically protects sensitive information in both chat messages and uploaded files, including documents and images in your Uploaded Files when they're used in conversations. Additionally, when the Privacy Filter is enabled, images are restricted from being sent to AI models not hosted within the EU to ensure compliance with data privacy standards.
  </Accordion>

  <Accordion title="Why are images restricted from non-EU AI models?">
    When the Privacy Filter is enabled, images cannot be sent to AI models hosted outside the EU. This restriction ensures compliance with strict European data privacy standards, as images may contain sensitive information that could be subject to different privacy laws in other jurisdictions. This provides an additional layer of protection for visual content in your organization.
  </Accordion>

  <Accordion title="What does the ISO 27001 certification mean in practice?">
    The ISO/IEC 27001:2022 certification confirms through an independent, external audit that Omnifact meets the highest security standards across its platform, infrastructure, and internal processes. For full details, visit [trust.omnifact.ai](https://trust.omnifact.ai).
  </Accordion>
</AccordionGroup>

## Next Steps

Ready to ensure your data stays protected while using AI? Here's where to go next:

* Learn about the technical implementation details in [How the Privacy Filter Works](/en/platform/core-features/privacy-security/how-privacy-filter-works)
* Discover how to manage protected information by [Using Click to Reveal](/en/platform/core-features/privacy-security/using-click-to-reveal)