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P2P Platform NoOnes Uses AI Escrow to Reduce Disputed Transactions. How It Works
The post P2P Platform NoOnes Uses AI Escrow to Reduce Disputed Transactions. How It Works appeared first on Coinpedia Fintech News
P2P platform NoOnes annΠΎunced the implementation of an AI-powered system to identify potentially fraudulent transactions before a deal is completed. The solution is integrated directly into the escrow mechanism β a tool that holds funds until the terms of the transaction are met.
The company clarified that the new model analyzes user behaviour in real time. The algΠΎrithm takes into account a number of factors, including changes in trading activity, inconsistencies in payment methods, and deviations in prices. If suspicious indicators are detected, the transaction can be suspended or sent for additional verification.
According to NoOnes, the pilot program has already reduced the proportion of disputed transactions by 28%. Furthermore, the system identifies up to 85% of potentially risky scenarios during the transaction process.
How does escrow work with AI?
In the classic P2P trading model, escrow serves a passive function β it hΠΎlds funds until the parties confirm compliance with the terms. In the event of a dispute, customer support is called in to resolve the dispute.
The new model used by NoOnes operates on a different approach. Instead of reacting to violations that have already occurred, the system assesses the risk at the mΠΎment a transaction is executed. This effectively moves anti-fraud mechanisms into the transaction process itself.
Similar solutions are already used in traditional fintech, where transactions are verified based on behavioural analysis before they are confirmed. In the cryptocurrency P2P segment, such tools have sΠΎ far seen limited adoption.
Increasing Fraud Sophistication
Interest in such solutions is growing amid the rise in fraudulent schemes. According to analytics companies, attackers are increasingly using automated tools, AI algorithms, and social engineering. In such circumstances, traditional security methods such as user ratings, transaction history, and reviews are proving insufficient. They only allow problems to be identified after a transaction has been completed, when funds could be lost or blocked due to a dispute.
In March, the US Federal Bureau of Investigation warned of the proliferation of cryptocurrency fraud schemes using counterfeit tokens. The agency noted that attackers are increasingly using new formats of user interaction, including messages within blockchain networks, to gain access to funds.
Against this backdrop, companies are beginning to reconsider their approaches to user protection. In the face of increased regulatory oversight and growing competition between platforms, not only liquidity but also the ability to prevent risks before they materialize is becoming a key factor.
NoOnes noted that integrating AI directly into escrow reduces the workload on support services and speeds up the processing of low-risk transactions. The system continues to adapt to new types of threats as data accumulates.
