Introduction:

Traditional identity systems force you into rigid, linear authentication flows. This one-size-fits-all approach fails to adapt to user context, risk, or preference, leading to a clunky and frustrating user experience. Authentication shouldn't be a simple pass/fail checkpoint; it should be a dynamic and s journey.

The graph-based flow engine is the core of GoAM, fundamentally changing how you build user experiences. By representing login and registration as a visual graph of nodes, you gain complete control to craft dynamic, stateful, and context-aware user journeys. This model allows you to A/B test flows, branch logic based on real-time data, and precisely tailor every step of the user's interaction.

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Use Case Example

An online service can implement adaptive authentication. The graph can check the user's context, such as their IP address or device. If a user logs in from a known, trusted device, they can be logged in instantly. If they log in from a new location, the graph automatically routes them to an additional MFA step, like an email OTP, balancing security and convenience.

A global application can design a registration flow that first asks for the user's country. Based on their selection, the graph branches to show region-specific UIs, collect the correct data fields, and present the appropriate data privacy consent forms (like GDPR for EU users or CCPA for users in California), ensuring global compliance.