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AI-Powered Fraud Prevention in FinTech: Tackling Web2 and Web3 Scams in Real-Time
September 7, 2024
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AI-Powered Fraud Prevention in FinTech: Tackling Web2 and Web3 Scams in Real-Time

The financial technology industry, particularly in cryptocurrency, faces increasing challenges from digital fraud and scams. In 2023 alone, crypto-related investment scams resulted in over $4.5 billion in losses, with a significant portion originating from Web2 channels before transitioning into Web3. As these scams become more sophisticated, the difficulty in tracing and recovering stolen assets in decentralized systems such as cryptocurrency becomes a major issue for financial institutions, exchanges, and businesses.

CUBE3.AI’s AI-powered fraud detection platform offers a solution to this growing problem. The platform bridges the gap between Web2 and Web3, providing seamless, real-time visibility into both traditional digital and crypto environments. By integrating data from sources like social media, fraudulent websites, and blockchain transactions, the system generates a comprehensive risk score. This enables businesses to act preemptively against scams, offering early detection and risk management to prevent devastating financial losses.

The AI models deployed by CUBE3.AI not only identify risks but also interpret the context in which fraud occurs, giving financial institutions the tools to block scams before they escalate. This approach represents a critical step forward in fraud prevention, offering businesses and service providers a holistic view of digital threats. The increasing reliance of criminals on advanced technologies like AI to scale fraud attacks necessitates equally sophisticated responses. CUBE3.AI’s platform empowers businesses to protect user trust and minimize losses in an ever-evolving digital landscape.

Source: Insider Monkey

Technologies Used:

  • Artificial Intelligence (AI): Used to detect and assess risks by interpreting complex data patterns and generating comprehensive risk scores.
  • Web3 Transaction Monitoring: Real-time tracking of cryptocurrency transactions to identify potential fraud before it escalates.
  • Data Integration (from Web2 and Web3): Combines data from social media, websites, and Web3 blockchain transactions to detect fraud across digital landscapes.

Companies Involved:

  • CUBE3.AI: The core company behind the initiative. It provides the AI-driven platform that bridges Web2 and Web3 to prevent fraud in real-time, offering advanced risk management and fraud detection solutions for financial institutions and crypto exchanges.

SDGs Impacted:

  • SDG 8 (Decent Work and Economic Growth): By preventing fraud and protecting financial assets, this initiative helps ensure stable economic conditions and fosters trust in digital financial systems.
  • SDG 16 (Peace, Justice, and Strong Institutions): Through reducing illicit financial flows and fraud, the platform contributes to building more transparent and accountable institutions.
  • SDG 9 (Industry, Innovation, and Infrastructure): Promotes technological innovation in fraud detection systems that strengthens the infrastructure of financial services.

Geographic Focus: Global

Industry Focus: Financial Services

Sustainability Focus: Fraud Prevention

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