The 14-Layer SOFGUARD LLM Security Engine
One of the biggest obstacles organizations face when deploying Large Language Models (LLMs) is security: the risk of data leaks, uncontrolled access, and unpredictable security threats.
At SOFKAR AI, we offer SOFGUARD, which we developed to enable organizations to carry out their AI transformation securely and in a controlled manner.
Sensitive and personal data is anonymized before reaching the model layer, helping to protect data privacy.
Offers an end-to-end security approach across different threat layers, including prompt injection, data leaks, hallucinations, and malicious code injection.
Ensures compliance with organizational access policies through role-based access control (RBAC) and authorization mechanisms for LLM usage.
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