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GWAI

Guardian Watcher AI Logo

Guardian Watcher AI

On-chain security layer using real-time AI to detect scams, rugs, and malicious contracts

Advanced Security Features

Real-time Monitoring

Scans mempools and decodes transactions in real-time to identify potential threats before they reach the blockchain.

Malicious Contract Detection

Identifies scams, rugs, and malicious smart contracts before users interact with them using advanced pattern recognition.

Pre-signing Alerts

Alerts users before they sign anything risky, preventing potential losses through timely intervention.

Multi-chain Protection

Provides security across multiple blockchains, ensuring comprehensive protection for all your crypto assets.

Low Latency Analysis

Performs high-speed analysis of smart contracts and transactions with minimal delay for real-time protection.

Adaptive Learning

Continuously learns from new scam techniques and evolving threats to improve detection capabilities over time.

Whitepaper

Guardian Watcher AI Whitepaper

Guardian Watcher AI ($GWAI) is an on-chain security layer that uses real-time AI to detect scams, rugs, and malicious contracts. Our mission is to protect users in the cryptocurrency space by providing advanced security measures that scan mempools, decode transactions, and alert users before they sign anything risky.

In the rapidly evolving blockchain ecosystem, security threats continue to grow in sophistication and frequency. Guardian Watcher AI addresses this critical need by implementing cutting-edge artificial intelligence to identify and prevent potential threats before they can cause harm to users and their assets.

Our technology operates at the protocol level, providing a seamless security layer that integrates with existing blockchain infrastructure without compromising on performance or user experience. By analyzing transaction patterns, smart contract code, and network behavior in real-time, Guardian Watcher AI can detect anomalies and potential threats with high accuracy.

Key Objectives

  • Protect users from scams and fraudulent activities

    Implement proactive security measures to identify and prevent common attack vectors

  • Provide real-time monitoring and alerts

    Continuous scanning of blockchain activity to detect suspicious transactions instantly

  • Develop advanced AI algorithms

    Create sophisticated machine learning models to detect evolving malicious patterns

  • Create a secure ecosystem

    Establish a comprehensive security framework for cryptocurrency transactions

  • Establish a community-driven security protocol

    Leverage collective intelligence to improve threat detection and response