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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Access Control

Selen AI utilizes Multi-Factor Role-Based Access Control (RBAC) to manage access across its platform, ensuring secure operations by controlling who can access what.

  • Granular Access Policies: Access to modules, APIs, and services is controlled based on user roles, ensuring that each person or service can only access what is necessary for their tasks.

  • Role Assignment: Each user and service is assigned a specific role with defined privileges, adhering to the principle of least privilege.

  • Multi-Factor Authentication (MFA): For elevated actions, MFA can be enabled, adding an extra layer of security by requiring users to verify their identity beyond just a password.

This approach enhances security by ensuring only authorized access and providing additional protection for sensitive operations.

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Last updated 12 days ago