SynaptAI Docs
  • Introduction
    • Project Overview
    • Vision & Mission
    • Why SynaptAI?
  • Market Background
    • Problems in Current Crypto Investment
    • Rise of AI in Financial Markets
    • Opportunities in AI + Web3
  • Platform Overview
    • How SynaptAI Works
    • AI Agent Capabilities
    • Use Cases
  • Core Features
    • Real-time Crypto Insights
    • Chat-based Trading Advisor
    • Predictive Signal System
    • Risk Assessment & Alerts
  • Token Economy ($SPAI)
    • Token Utility
    • Token Allocation
    • Vesting Schedule
    • Use of Funds
  • Technology Stack
    • AI Engine
    • BSC Integration
    • Privacy & Data Handling
    • Security Framework
  • Roadmap
  • Team & Partners
  • Conclusion
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  1. Technology Stack

Security Framework

Security is embedded at every layer of the SynaptAI platform:

  • Smart Contract Audits: All contracts undergo professional auditing before mainnet deployment

  • AI Model Integrity Checks: Regular testing and adversarial validation to ensure model fairness and reliability

  • DDoS Protection & Rate Limiting: Cloud-based infrastructure is reinforced with traffic filters

  • End-to-End Encryption: All API and bot communications are secured via TLS/SSL

Security updates and patches will be pushed periodically based on vulnerability assessments and community bug bounties.

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Last updated 9 days ago