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<p><strong>Large Language Models (LLM) can powerfully translate and reason using Natural Language. </strong>As such, they are a prominent ingredient for reshaping and simplifying Identity Governance and Administration (IGA). </p><p>IGA is all about translating technical jargon (IT accounts, applications, and permissions) into comprehensible business terms.</p><p>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.</p><table style="border-collapse: collapse; width: 100%;" border="1" data-mce-style="border-collapse: collapse; width: 100%;" data-mce-selected="1"><tbody><tr><td style="width: 50%;" data-mce-style="width: 50%;"><br data-mce-bogus="1"></td><td style="width: 50%;" data-mce-style="width: 50%;"><br></td></tr><tr><td style="width: 50%;" data-mce-style="width: 50%;"><h3><strong>Traditional IGA</strong></h3></td><td style="width: 50%;" data-mce-style="width: 50%;"><h3><strong>LLM-powered IGA</strong></h3></td></tr><tr><td style="width: 50%;" data-mce-style="width: 50%;">Users with complex IGA User Experiences are <em><strong>"lost in translation",</strong></em> constantly asking for IT support.</td><td style="width: 50%;" data-mce-style="width: 50%;"><p><br></p><p><strong>Users ask questions in their natural language,</strong> 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.</p></td></tr><tr><td style="width: 50%;" data-mce-style="width: 50%;">Policies, workflows and other instructions must <strong>be hard coded</strong> – either writing Software Software or implementing very technical product configurations.</td><td style="width: 50%;" data-mce-style="width: 50%;"><p>Policies, workflows, and other instructions <strong>are given in Natural Language</strong> without any further coding needed. Auditors are happier, too, as they can finally audit what they understand.</p><p>Stop spending money on IGA software configurations.</p></td></tr><tr><td style="width: 50%;" data-mce-style="width: 50%;">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.</td><td style="width: 50%;" data-mce-style="width: 50%;"><p><br></p><p>Large Language Models can «learn and resonate»&nbsp; from PDF/Word documents. As an ‘IGA expert’, they can learn from your documents and use this knowledge to analyze your Identity Data.&nbsp;</p><p><br><strong>It’s the demise of RBAC/ABAC.</strong></p></td></tr></tbody></table><h3>&nbsp; &nbsp; &nbsp; &nbsp; "Everything as Natural Language"</h3><p><br>&nbsp; </p>

Revolutionizing Identity Governance: How Large Language Models are Breaking the Mold

iamones

IAMONES is an AI-native, conversational Identity & Access Management (IAM) platform. Our business is to remove the complexity that makes enterprise identity governance slow, expensive and inaccessible to the people who actually use it.

Our product is a software platform, delivered as a cloud service, that sits on top of the IAM and Identity Governance & Administration (IGA) systems an organization already owns — no rip-and-replace, no migration risk. It consolidates identities, entitlements and access data from across source systems into a single data model with a full historical timeline, and exposes it through a natural-language interface available in the customer's channel of choice (enterprise chatbot, Microsoft Teams, or an embedded web portal).

Key capabilities include:

Conversational access requests — business users describe what they need in everyday language; semantic search finds the right entitlements and indicates the likelihood of approval.
AI-assisted access reviews and certification campaigns — campaign managers configure and scope campaigns by asking; reviewers get context and recommendations to make better decisions.
Natural-language configuration and reporting — policies, workflows and reports are defined and modified conversationally, in any language, and remain directly readable by auditors.
Governance of AI agents — non-human identities and AI agents are modelled and governed alongside human users, where permission overlap creates hidden risk.

We serve mid-size and large enterprises in regulated and security-sensitive sectors, and work through a global partner ecosystem of IAM consulting and managed-service providers. Licensing is usage-based rather than per-seat, so cost scales with actual value delivered. IAMONES was recognized as a Rising Star in KuppingerCole Analysts' Identity Governance & Administration report.

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Revolutionizing Identity Governance: How Large Language M...