How can we trust AI?

As Artificial Intelligence (AI) becomes more pervasive in industries like
cybersecurity, identity management and data governance, the question of trust remains central.

How can organizations trust that the AI solutions they use, especially in critical areas like Identity Management, will handle their sensitive data
responsibly?

The key to building trust in AI lies in one transformative approach: RAG (Retrieval-Augmented Generation) and the use of company documents.

Let’s explore how this innovation is reshaping the trust landscape in AI.

How IAMONES Leverages RAG and Company Documents

At IAMONES, we’ve adopted RAG to push the boundaries of what's possible in Identity Governance and Administration (IGA). In traditional IGA platforms, implementing risk policies and configuring the system requires manual configuration and deep technical expertise. Current platforms often rely on complex rule-based engines, technical jargon, and predefined workflows, making them inaccessible to non-technical stakeholders.

However, with the integration of Large Language Models (LLMs) and RAG, IAMONES has transformed this process by enabling natural language interactions, simplifying the complexity of identity
management.

Here’s how IAMONES is innovating the space with RAG:

1. Natural Language Configuration: Instead of configuring risk policies
through cumbersome interfaces, IAMONES allows users to define and implement these policies using everyday language, just in a document;

2. Dynamic Risk Assessment: IAMONES leverages RAG to perform dynamic risk assessments based on the latest information available in company records and security reports.

By combining the capabilities of LLMs with context-specific data retrieval through RAG, IAMONES provides a transformative solution for organizations seeking a more intelligent, intuitive, and transparent approach to identity management.