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Stopping payment fraud with behavioural analytics

July 9, 2025
Stopping payment fraud with behavioural analytics

As digital payments continue to expand, financial institutions face the urgent challenge of preventing fraud before it occurs while maintaining seamless customer experiences. Traditional fraud detection methods, whether rules-based systems or machine learning models, are often too rigid or slow to identify today’s rapidly evolving fraud tactics, leading to either missed threats or excessive false positives that inconvenience genuine customers.

SymphonyAI, which offers AI tools to fight financial crime, recently explored how behavioural intelligence can help stop fraud before it happens.

Behavioural intelligence offers a modern solution by analysing user interactions, such as typing rhythm, mouse movements, and navigation patterns, to build unique behavioural profiles that are difficult for fraudsters to mimic. This approach allows institutions to detect suspicious behaviours like account takeovers or stolen sessions before a transaction is processed.

Unlike static rules or outdated blacklists, behavioural intelligence dynamically adapts in real time, helping organisations distinguish between legitimate customers and potential threats while reducing false positives and unnecessary transaction blocks. This ensures a smoother customer journey while maintaining high fraud detection accuracy.

NetReveal Payment Fraud from SymphonyAI leverages these capabilities to deliver rapid, scalable fraud prevention for financial institutions. The platform detects and stops fraudulent transactions in under 50 milliseconds by building behavioural profiles, applying AI models, and adapting to new fraud tactics, it claims. The technology has demonstrated significant results, with financial institutions reporting up to 55% fewer false positives and fraud losses cut by half, it said

SymphonyAI’s partnership with ThreatMark further enhances its fraud prevention capabilities. ThreatMark’s behavioural biometrics and session intelligence technology operates silently in the background, monitoring subtle patterns in user interactions to verify genuine identities, even if a fraudster has stolen login credentials.

When ThreatMark is integrated with NetReveal, it adds an additional layer of security that detects complex attacks like phishing, mule activity, and account takeovers in real time, without disrupting legitimate customers. This seamless integration enables financial institutions to stop fraud early, flag unusual behaviours during transactions, and automatically adapt to emerging threats.

SymphonyAI’s NetReveal Payment Fraud, enhanced by ThreatMark, is designed to help financial institutions stay ahead of fraud while ensuring customers can continue transactions safely and smoothly. As digital transactions grow, adopting behavioural intelligence and AI is becoming essential to maintaining trust and security across financial systems.

Read the full story here.

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  • TAGS
  • account takeover prevention
  • AI fraud prevention
  • behavioural biometrics
  • behavioural intelligence
  • Cybersecurity
  • digital banking
  • financial crime prevention
  • Fintech
  • fraud detection
  • NetReveal
  • Payment fraud
  • real-time fraud detection
  • Sensa Investigation Hub
  • SymphonyAI
  • ThreatMark
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