Skip to content

Data & Privacy Architecture (DPA)

TSB AI edited this page Feb 26, 2026 · 1 revision

Data & Privacy Architecture

Privacy-First Philosophy

TSB AI is designed with a privacy-conscious architecture.

The system minimizes unnecessary data collection and emphasizes controlled data flow and transparent logic layers.


Data Categories

TSB AI may process:

  • Assessment responses
  • Behavioral patterns
  • Performance metrics
  • Interaction history

No sensitive personal data is required for core functionality.


Storage Principles

  • Minimal persistent storage
  • Encrypted data handling (where applicable)
  • User-controlled profile deletion
  • No third-party resale or hidden tracking

Deployment Models

TSB AI supports multiple deployment approaches:

  1. Cloud-assisted intelligence
  2. Hybrid privacy mode
  3. Local-first architecture (future expansion)

Users retain visibility over their data usage model.


Ethical Framework

The system avoids:

  • Manipulative behavioral nudging
  • Addictive engagement design
  • Dark-pattern reinforcement

The objective is cognitive growth, not dependency.

Clone this wiki locally