How ISMS Copilot's AI Works: Retrieval-Augmented Generation (RAG)

ISMS Copilot uses a sophisticated AI architecture based on the Retrieval-Augmented Generation (RAG) model. This approach allows the AI to provide accurate, context-aware, and up-to-date guidance on information security compliance. Here's how it works:

1. User Input

When you ask a question or request guidance, your input is the starting point. This could be anything from "How do I perform a risk assessment for ISO 27001?" to "What are the key controls for GDPR compliance?".

2. Information Retrieval

The AI doesn't rely solely on its pre-trained knowledge. Instead, it uses your input to search a vast, curated knowledge base of information security standards, frameworks, regulations, and best practices. It's important to note that this knowledge base does not contain the full, copyrighted text of official standards documents like the ISO 27001 standard itself. Instead, it includes:

The retrieval process is designed to find the most relevant information related to your query, focusing on practical implementations.

3. Contextualization

The retrieved information is then combined with your original query to create a rich context for the AI. This context helps the AI understand the specific nuances of your request and tailor its response accordingly.

4. Response Generation

Using the combined context, the AI generates a response that is:

5. Continuous Learning