Skip to main content
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.
Team Admins: You can configure the team-wide Privacy Filter settings in Team Administration > Data Privacy.

​
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 providers are US-based companies. When using non-EU or non-self- 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

EU-Hosted Infrastructure

Your data stays within EU jurisdictional boundaries.

No Training on Your Data

We never use your data to train our models.

Flexible Hosting

Choose between EU-hosted or self-hosted options for complete sovereignty.

Intelligent Privacy Filter

Automatic masking of sensitive data before it reaches any AI model.
Omnifact’s privacy protections work holistically across the platform to safeguard your data at every touchpoint.

​
Platform-Level Benefits

Data Leak Prevention

Prevents accidental sharing of names, addresses, financial data, and company secrets through multiple layers of protection

Compliance Support

Helps meet GDPR, CCPA, and other regulatory requirements through EU hosting, privacy controls, and transparent data practices

User Confidence

Builds trust in AI adoption by ensuring employees and customers know their information is protected

Seamless Integration

Privacy protections work automatically across all Omnifact features to maintain consistent security

​
Practical Privacy Examples

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

✅ Safe to Share

“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)

❌ Do NOT Share

“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)

​
Frequently Asked Questions

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.
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.
The Privacy Filter automatically protects sensitive information in both chat messages and uploaded files, including documents and images in your Knowledge Base 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.
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.

​
Next Steps

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