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.
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.
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