Selen AI
  • Executive Summary
  • Introduction
    • Background & Motivation
  • Market Opportunity
  • Problem Statement
    • Fragmented Capabilities Across Platforms
  • Lack of AI-Driven Risk Intelligence
  • Poor Usability and Compliance Standards
  • Selen AI Architecture
    • AI / ML Core
  • Data Layers & Connectors
  • Execution Layer
  • Security Mesh
  • Feature Suite
    • Volume-Sniping Engine
  • New-Token Sniper — AI Pattern Recognition
  • Zeta-Market Perpetual Copy-Trading
  • Volume-Booster (AI-Optimised Market Making)
  • AI Pools-Filter for Liquidity Provision
  • Risk Engine & Portfolio Orchestration
  • Automated Buys & Sells
  • Low Funds Detection
  • Security, Compliance & Data-Governance
    • Key Management
  • Access Control
  • Data Security
  • Compliance Toolkit
  • System Monitoring
  • Token Utility & Economic Design
    • Token Utility
  • Roadmap
    • Phase 1: Launch (v 1.0)
  • Phase 2: Expansion & AI Enhancements
  • Phase 3: Multi-Chain Expansion & Advanced Features
  • Phase 4: Customization & Community Governance
  • Links
  • CONCLUSION
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Data Security

Selen AI adopts a Zero-PII Architecture that prioritizes user privacy and data security:

  • PII-Free Design: The platform is built from the ground up to avoid the storage of personally identifiable information (PII), reducing privacy risks.

  • End-to-End Encryption: All sensitive data is encrypted both at rest and in transit using TLS 1.3, ensuring that data is protected during transmission and storage.

  • Immutability and Traceability: Transactional and configuration changes are hashed using SHA-256, creating an immutable record for tamper-proof auditability and ensuring transparent traceability of all operations.

This architecture ensures high levels of security, safeguarding user privacy while maintaining integrity and transparency of platform activities.

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Last updated 12 days ago