Social Connect
Preview the user consent experience for linking popular apps to strengthen IWISI trust scoring.
OpenIWISI Dashboard
Explore attempt outcomes, score quality, and per-question behavior through an interactive, static-friendly dashboard experience.
IWISI began as a data analytics capstone that challenges the weaknesses of Knowledge-Based Authentication. Instead of relying on static secrets such as security questions or previous addresses, the dashboard demonstrates a dynamic, high-entropy Human-Only Recognition Barrier built from live lifestyle anchors.
Project Brief
The IWISI (I'm Who I Say I'm) project introduces a paradigm shift in digital identity by replacing vulnerable, static databases with a stateless, deterministic verification engine. By transforming a unique user identifier into a mathematical seed, the system reconstructs a high-entropy "Lifestyle Identity Graph" on-demand, spanning domains from automotive history to real-time digital habits. This "Cognitive Air-Gap" ensures that sensitive personal data is never stored at rest, instead requiring the user to prove their identity through the unique recognition of their own life anchors. Engineered for the modern web, IWISI provides a high-performance, API-driven framework that achieves bank-grade security with an operational latency of less than 10 milliseconds, effectively neutralizing credential stuffing and social engineering through pure mathematical certainty.
Start Here
Experience IWISI authentication as an end user. Walk through four rounds with increasing context and see how recognition-based verification blocks random guessing.
Preview the user consent experience for linking popular apps to strengthen IWISI trust scoring.
OpenStress-test entropy, decoy quality, trust scoring, and stateless identity flows in interactive views.
OpenLearn about IWISI's architecture, security benchmarks, and the mathematics behind the Cognitive Air-Gap.
OpenDiscover how IWISI can become a Privacy-First Identity Provider for the web.
OpenCompare pass and fail trends with quick filters that make overall performance shifts easy to spot.
OpenSlice attempt activity by country to identify region-level patterns in score outcomes and reliability.
OpenInspect per-question success rates and recent attempts to understand where users struggle most.
OpenStep through the real login flow and see why recognition-based verification blocks random guessing.
OpenUnderstand the probability model and confidence math that powers IWISI trust decisions.
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