Analyst Chat #318: Before You Build - IAM Customization Governance in the AI Era

AI can build your IAM connector in an afternoon. But was the connector ever the bottleneck? In this episode, Matthias invited Patrick Teichmann, lead advisor at KuppingerCole Analysts, to talk about his newly published advisory note on IAM customization governance and ask the harder question: what happens when the cost of building disappears, but the cost of maintaining doesn't?

Key Topics:

• Why AI removes the development bottleneck in IAM — but exposes the real one: requirements definition
• The danger of saying yes too easily: how AI makes it tempting to build what should never be built
• Security risks in AI-generated IAM code: what the research actually shows
• A seven-step framework for evaluating any IAM customization before writing a single line
• The customization registry: how to build transparency and governance into what already exists
• When to stop customizing and ask whether the platform itself is the wrong tool

⚠️ "AI makes code cheap but the bottleneck in IAM was never primarily creating the code." Patrick Teichmann on why removing the development barrier without fixing requirements definition is a recipe for a new generation of Lotus Notes.
📄 Patrick's advisory note on IAM Customization Governance is published on the KuppingerCole Analysts website now; watch this episode first, then dive into the research.