Our cutting-edge AI fraud detection system operates in real time, allowing you to monitor and identify suspicious activities based on your customers' unique patterns. By analysing transactions as they happen, we provide immediate alerts, enabling prompt action to mitigate potential risks.
Our fraud detection solution covers a spectrum of touch points, ensuring a comprehensive and robust defence against fraudulent activities:
Understand your users' behaviours and detect anomalies that may indicate fraudulent activities.
Implement advanced biometric measures for secure user identification and to prevent unauthorised access.
Establish predefined rules and thresholds to flag transactions that deviate from established norms.
Employ robust identity verification processes to ensure the legitimacy of individuals engaging in transactions.
Monitor transactions as they occur, enabling immediate detection of suspicious activities.
Machine Learning Algorithms
Utilise advanced algorithms to learn from historical data and identify patterns indicative of fraud.
Implement fingerprint or facial recognition for secure user authentication and identity verification.
Detects and responds to fraudulent transactions in a matter of seconds, minimising potential damages.
Utilise adaptive strategies that evolve with changing fraud patterns, ensuring continuous protection.
Implement state-of-the-art security measures, including biometric authentication by, for robust user verification.
Explore how our fraud detection solution has been instrumental in safeguarding businesses across various industries:
Fraud monitoring can be used for detecting unusual account behaviour, such as sudden large transactions or multiple transactions below reporting thresholds and monitoring cross-border transactions to identify potential money laundering activities or sanctions violations.
Transactional monitoring can be used by gambling industry to help verify player identities to stop underage or fraudulent account use. It watches transactions, spotting odd patterns like huge deposits that might signal money laundering or fraud. By analysing behaviour, it catches unusual gambling habits that might indicate fraud or problematic play.
Online retailers can use Fraud monitoring to identify suspicious payment patterns, like multiple orders with different shipping addresses but the same payment details and to track transactions for discrepancies in purchase history, detecting unusual return patterns or irregular refunds.