Your IAM Platform is at a Crossroads: Traditional or Born-on-the-LLM?

You have to migrate off your legacy IAM platform today.

Many companies, just like yours, are looking to drastically simplify and cut the operational costs of their legacy on-premise IGA platforms, often built more than a decade ago.

Until recently, the “move to cloud” was seen as the only path to modernization. But today, the scenario has changed.

There's a second option, a strategic crossroads: moving to Born-on-the-LLM vendors.

What's the Real Difference? (Hint: It's Not the Chatbot)

It’s not about having a conversational chatbot, which will be a commodity in 2–3 years. The real, profound breakthrough lies in how you configure and run the system.

With a Born-on-the-LLM platform, you program and configure in natural language. No coding, no product specialists.

A functional expert can simply write a workflow in plain language (e.g., French), and it just works.

In this new paradigm, natural language is the code.

In contrast, traditional vendors may add a chatbot layer, but their underlying configuration is still bound to code, semi-code, or endless parameter tuning.

How to Spot a Traditional Vendor? Age Doesn't Lie.

A good way to spot a traditional vendor? Age. Any platform designed before 2023 had no LLM option, it had to be built the old way, maybe with some “Machine Learning” added later. But let’s be clear: ML is not LLM.

The TCO (Total Cost of Ownership) comparison is straightforward: 

hours vs. weeks, agility vs. rigidity, auditor-friendly vs. auditor-adverse.

The Future of IAM is a Choice

Now, let’s be honest: the IAM world is still conservative. A good chunk of practitioners believe AI and LLM are just hype. But there’s a growing faction that clearly sees their potential and benefits.

So, this is the crossroad you are facing: will you go Traditional, or will you go Born-on-the-LLM?