Revolutionizing Identity Governance: How Large Language Models are Breaking the Mold
Large Language Models (LLM) can powerfully translate and reason using Natural Language. As such, they are a prominent ingredient for reshaping and simplifying Identity Governance and Administration (IGA).
IGA is all about translating technical jargon (IT accounts, applications, and permissions) into comprehensible business terms.
Here's a list of major IGA pain points and how Large Language Models can significantly disrupt the ‘old ways’ of doing things in this critical security domain.
Traditional IGA | LLM-powered IGA |
| Users with complex IGA User Experiences are "lost in translation", constantly asking for IT support. | Users ask questions in their natural language, their mother tongue. They no longer require IT support, and IT no longer has to offer multi-language UIs. It’s the Extinction of the “Painful User Experience" age when Humans had to adapt to Software. Now, Software adapts to Humans. |
| Policies, workflows and other instructions must be hard coded – either writing Software Software or implementing very technical product configurations. | Policies, workflows, and other instructions are given in Natural Language without any further coding needed. Auditors are happier, too, as they can finally audit what they understand. Stop spending money on IGA software configurations. |
| The Wealth of Identity Governance-related documental Knowledge (e.g., homegrown application descriptions, Risk Policies, Organizational who's who) is on the shelf and not leveraged for IGA implementations. | Large Language Models can «learn and resonate» from PDF/Word documents. As an ‘IGA expert’, they can learn from your documents and use this knowledge to analyze your Identity Data.
|
"Everything as Natural Language"