Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms
arXiv:2605.22604v1 Announce Type: cross Abstract: The advent of cardless artificial intelligence (AI) banking heralds a paradigm shift in the financial landscape, offering users unprecedented security and convenience. This paper outlines a comprehensive framework designed to enhance cybersecurity, introduce auto-generated virtual cards, and mitigate fraud risks within cardless AI banking systems. The framework envisions a future banking architecture that employs AI-powered data cryptography to create secure virtual cards for seamless transactions. By emphasizing secure communication channels,
The paper leverages recent advancements in AI and machine learning to address growing concerns about cybersecurity and fraud in the rapidly evolving digital banking sector, pushing towards a cardless future.
This framework offers a vision for financial institutions to significantly enhance security, mitigate fraud, and streamline transactions through AI-powered virtual cards, which could become a standard in digital banking.
The proposed architecture fundamentally changes how digital banking transactions are secured and conducted, moving closer to a completely cardless, AI-driven financial ecosystem.
- · Financial institutions adopting AI solutions
- · Cybersecurity firms
- · AI developers
- · Consumers seeking secure banking
- · Traditional card issuers
- · Companies reliant on physical card infrastructure
Increased adoption of AI and machine learning in financial security will become a competitive advantage.
Cyber insurance models will need to adapt to new risk profiles associated with AI-driven security systems.
The definition of 'currency' and 'financial instrument' could subtly shift as physical representations become less relevant.
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Read at arXiv cs.LG