Building Radiant AI: Lessons Learned on Applying Large Language Models in Identity

John Pritchard, CPO, Radiant Logic

Generative AI, with its capabilities in analyzing data and behavior, presents a promising solution to improve identity and application access risk management. Large Language Models (LLMs) provide a generational leap for understanding risks and detecting anomalies in data. However, they also suffer from a wide range of issues including hallucinations, privacy, and data protection–blocking many use cases. This session will cover our experiences in the integration of LLMs to streamline access governance processes and reduce access risk management for business applications. Key topics to be covered include:

  • Real-World Applications: Using LLMs to improve identity and application risk management.
  • Commercial and Open Source LLM options.
  • Integration patterns like Chain-of-Thought prompting, Chain-of-Experts and Retrieval Augmented Generation.

This presentation is designed for IT professionals, cybersecurity experts, and decision-makers seeking to stay ahead of the curve in protecting their organizations. Join us to discover how Generative AI can be a game-changer in mitigating risks and fortifying your identity security posture.

 

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