Social Flow
  • Welcome to Social Flow
    • Introduction
    • Vision
    • Product Market Fit
    • Why SocialFlow is Different?
  • KEY INFO
    • $SF Tokenomics
    • Token Utility
    • Roadmap
    • Revenue Model
  • TECH FRAMEWORK
    • SocialFlow Ai Agent
    • Agent Training & Memory Model
    • QPF (Quantum Probabilistic Forecasting) Technology
    • Contextual Layering Engine
    • Multiplatform Execution Layer
    • Security & Data Privacy
  • developer api
    • Getting Started with Social Flow API
    • Agent Plugin Framework (a.k.a Skill Layer)
    • Webhooks & Event Architecture
  • Project Socials
    • Website
  • Telegram
  • X (Twitter)
  • LinkTree
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  1. TECH FRAMEWORK

Security & Data Privacy

Security isn’t a layer in Social Flow — it’s part of the foundation. From agent permissions to API requests, every aspect of the platform is designed to respect user boundaries, ensure data safety, and maintain operational integrity.


🔐 Data Handling Philosophy

Social Flow doesn’t track or store more than it needs to. User content, engagement history, and platform tokens are stored with end-to-end encryption and scoped to individual workspaces.

  • No cross-user memory sharing

  • No third-party data reselling

  • Logs stored temporarily and purged in cycles

We believe in a data model that respects the creator’s autonomy — where agents remember only what they need to work well.


🧠 Agent Permissions Framework

Agents operate in sandboxed environments. Each agent is:

  • Isolated per platform

  • Bound to specific content access scopes

  • Prohibited from executing cross-platform data actions without explicit permission

This prevents behavior leaks or unintended interactions across user channels.


🔄 OAuth & Identity

Users authenticate via:

  • Platform OAuth (X, Telegram, etc.)

  • Optional wallet-based login (MetaMask / WalletConnect)

  • Social Flow credentials for dApp management

User sessions are tokenized and revocable at any time. Wallets are used for token access rights, not data linking.


🔁 Reset, Export, Forget

We provide full access to agent data and memory logs via the dashboard. Users can:

  • Export memory snapshots

  • Reset learned behavior

  • Delete agent traces per channel

Everything your agent knows — you can see, control, or erase.


Why It Matters

Creators deserve tools that don’t exploit attention or harvest data for other agendas. Social Flow was built to be performance-driven, not surveillance-driven — offering full power without unnecessary trade-offs.

We don’t just manage your digital presence. We protect it.

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Last updated 8 days ago