GyroAuth v2.0 — Authentication as Stability-based Selection (PoC Release)

GyroAuth v2.0 — Authentication as Stability-based Selection

This release marks the first working Proof of Concept of GyroAuth.

GyroAuth is an authentication system where identity is evaluated not by exact matching, but by stability under deviation.

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🔥 What’s New

• FastAPI-based authentication API

• Multi-slice observation model (Space / Time / Device / Behavior / Network / Motion)

• Stability-based decision engine

• Continuous authentication states:

  • AUTH_STABLE
  • RECONVERGING
  • AUTH_FAIL

• Real-time stability visualization

• End-to-end working PoC

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🧠 Core Concept

Authentication = Stability-based Selection

Instead of:

Match → Success / Fail

GyroAuth performs:

Observe → Deviation → Stability → Selection → Auth

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⚙️ What This Release Demonstrates

• Identity can remain valid under deviation
• Authentication is continuous, not binary
• Stability collapse corresponds to attack scenarios
• Re-convergence is possible before failure

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📊 Included Demo

• FastAPI PoC (/observe, /authenticate)
• Multi-step session simulation
• Stability timeline graph
• Attack scenario reproduction

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🔗 Repository

https://github.com/gitGyro-Dev/gyroauth

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🔴 Key Insight

Identity is not a fixed value.

It is a stable trajectory.

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🚧 Notes

• GyroOS integration is currently abstracted
• Stability computation is simplified for PoC
• Future versions will connect directly to GyroOS

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🎯 Purpose of This Release

This is not a theoretical concept.

This release demonstrates that:

👉 Stability-based authentication is implementable
👉 Identity can be evaluated as a dynamic system

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🔚 Final Statement

Authentication is not about perfect reproduction.

It is about whether identity still holds under change.

GyroAuth v1.5 — From State Convergence to Executable Authentication

GyroAuth v1.5

From State Convergence to Executable Authentication

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Overview

This release transforms GyroAuth from a conceptual framework into an executable proof-of-concept (PoC).

While previous versions introduced authentication as state convergence, this version demonstrates how the idea can be implemented as a working system.

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What’s New

1. Full Authentication Pipeline

A complete pipeline has been implemented:

GyroAuth v1.3 — Authentication as State Convergence

GyroAuth v1.3

This release aligns GyroAuth with Gyro Logic v2.0:

https://doi.org/10.5281/zenodo.19555020

Authentication is defined as:

State Convergence

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Status

• Theory connected
• Concept clarified

GyroAuth v1.2 — Authentication as State Convergence

GyroAuth v1.2 — Authentication as State Convergence

This release refines GyroAuth from a conceptual model into a structured convergence-based authentication framework.

GyroAuth redefines authentication as a continuous process:

Authentication = State Convergence

Instead of verifying static credentials, GyroAuth evaluates whether a user's state continuously converges across time, space, motion, and device context.

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Key updates in v1.2:

• Formalized convergence-based authentication model
• Integration of dynamic state evaluation (continuous authentication)
• Introduction of trajectory-based identity representation
• Time-decay model: authentication validity decreases over time
• Multi-dimensional convergence (space, time, motion, device)
• Initial alignment with underlying theoretical framework (Gyro Logic)

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Core principles:

• Authentication is not a point, but a trajectory
• Authentication is not static, but continuously evaluated
• Stolen credentials become useless over time
• Identity emerges from stable behavioral convergence

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This version focuses on:

• Conceptual clarity
• Structural consistency
• Readability for both technical and non-technical audiences

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We are currently exploring:

• Proof of Concept (PoC) implementations
• Security architecture applications
• Licensing and commercial use cases

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Status:
Concept → Structure → Early Implementation

GyroAuth represents a shift from authentication as verification to authentication as dynamic convergence.

GyroAuth v1.1 — Authentication as State Convergence

GyroAuth v1.1 — Authentication as State Convergence

This release introduces the core conceptual model of GyroAuth:

• Authentication is not a point, but a trajectory
• Authentication is not static, but converging
• Authentication decays over time

This version includes:

• Core concept definitions
• State convergence model
• Visual diagrams (Trajectory / Convergence / Time Decay)
• Initial architecture direction

GyroAuth reframes authentication from static verification to dynamic convergence across time, space, motion, and device context.

We are exploring:

• Proof of Concept implementations
• Security architecture applications
• Licensing opportunities

This is an early-stage conceptual release.

GyroAuth v1.0.0 — Initial Public Concept Release

This is the first public release of GyroAuth, a GyroLogic-based authentication framework.

GyroAuth redefines authentication as:

multi-dimensional state convergence across space, time, motion, and device context.

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Key idea:

Authentication succeeds only when the correct state exists at the correct place and time.

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This release includes:

• Concept definition
• Mathematical model
• Core architecture
• PoC design
• Business positioning

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Relationship to GyroLogic:
https://github.com/gitGyro-Dev/gyroos

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Note:
This is not a production implementation.
This repository provides a protocol and conceptual architecture.

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Vision:

Authentication is no longer about secrets.
It is about existence in space-time.