Ask HN: Is static identity becoming a limitation in modern systems? I’ve been noticing a pattern across different systems (security, payments, operations): Most systems treat identity as something stable — once verified, it’s assumed to remain consistent. But in real-world usage, identity behaves differently depending on: • context (location, environment, timing) • intent (what the user is trying to do) • interaction flow (sequence of actions) This creates a mismatch. So systems compensate by: • collecting more user data • adding more rules • increasing verification steps Yet issues still show up: • legitimate users get blocked • risky behavior passes through • systems behave inconsistently under edge cases It feels like the limitation isn’t identity verification itself — but the assumption that identity is static. Curious how others here think about this: Are there practical ways to model identity as something dynamic without making systems overly complex or slow? |