Citadel: A Privacy-First Framework for Secure LLM Deployment
20/08/2025
Reading Time: 2 minutes
Ebubekir Karamustafa
AI Software Engineer
As businesses rapidly adopt Large Language Models (LLMs) to streamline operations and enhance customer experiences, protecting sensitive data has become a top concern. Sharing personal or financial information with external APIs can expose companies to compliance risks and data breaches.
Citadel, part of the Commencis AI Framework, is a modular, on-premise AI privacy solution that enables organizations to use LLMs—internally or externally—without compromising data security or regulatory compliance.
Why Citadel is Built for Enterprise AI:
- Compatible with any LLM provider (on-prem or cloud).
- Ensure sensitive data never leaves your infrastructure
- Modular design: Analyzer, Anonymizer, and Deanonymizer
- Supports encryption, hashing, and statistical obfuscation
- Maintain contextual and semantic integrity across languages
Proven Results:
- Outperforms BERT-based anonymizers (English + Turkish datasets).
- Retain high ROUGE and COSINE scores after anonymization.
- Ideal for asynchronous use cases: particularly in logging and monitoring.
Whether you’re building with internal models or external APIs, Citadel empowers your teams to adopt enterprise-grade LLMs—securely and at scale.
20/08/2025
Reading Time: 2 minutes
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Ebubekir Karamustafa
AI Software Engineer
