What is it?
Zero-Trust AI Anonymization
Unlock the power of public AI without exposing your private data.
The mycd.ai anonymization engine is a locally deployed secure bridge for corporate documents. It
scrubs your files of sensitive and confidential data before they ever leave your network, allows
powerful public AI models to process the sanitized text, and seamlessly restores the real data
to the final output on your local machine. You get the advanced reasoning of tier-one AI, with
absolute data sovereignty.
How it works
The service operates entirely within your controlled environment through a simple, secure three-step pipeline:
Local Anonymization:
Your raw documents are processed on your own infrastructure. Sensitive entities—such as personal names, financial figures, trade secrets, and client details—are automatically identified and replaced with secure, unreadable placeholders (e.g., [CLIENT_A], [FINANCE_X]).
Secure Cloud Processing:
The sanitized document is transmitted to public AI platforms for analysis, summarization, or structural formatting. The AI successfully performs the complex logic and heavy lifting without ever having access to the actual underlying data.
Local De-anonymization:
The AI returns the processed output back to your local system, where the original data is instantly mapped back into the placeholders. You receive the final, fully contextualized document securely.
Why This Matters for Modern Business
Complete Data Sovereignty:
Because the anonymization scripts run locally on your bare-metal or private
infrastructure, your proprietary information never risks becoming part of a public model's training
data.
Regulatory Compliance:
Effortlessly maintain strict adherence to GDPR, the EU AI Act, and NIS-2
requirements by ensuring personally identifiable information (PII) and corporate secrets remain strictly
on-premise.
Zero Compromise on AI Quality:
Organizations no longer have to choose between protecting their data
and utilizing the smartest, most capable public LLMs. You get the exact same high-level analytical
results without the security risks.