Protektor AI
  • Overview
  • Quickstart
  • Features
  • Tier
  • Tokenomics
  • Development Roadmap
  • Governance
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Features

AI-Powered Security

  • Specialized LLM Integration: Advanced language models analyze and understand smart contracts.

  • Neural Network Detection: Identifies complex patterns to predict vulnerabilities.

  • Zero-Day Threat Prevention: Provides immediate responses to unknown security threats.

Intelligent Security Agents

  • Proactive Threat Detection: Monitors and identifies malicious behaviors in real time.

  • Smart Contract Verification: Validates the integrity of smart contracts before interactions.

  • Behavioral Analysis Engine: Detects suspicious activities using historical and behavioral data.

Enhanced User Safeguards

  • Rug Pull Prevention: Mitigates risks of sudden liquidity withdrawal.

  • Smart Honeypot Detection: Alerts users to deceptive contracts.

  • MEV Protection: Guards against front-running and trade manipulation.

Comprehensive Analysis

  • Blockchain Data Synthesis: Consolidates data from multiple sources for enhanced insights.

  • Community Risk Signals: Integrates crowdsourced reports to strengthen security.

  • Market Integrity Monitoring: Ensures a fair trading environment.

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Last updated 5 months ago